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Hands-On GPU Programming with Python and CUDA Explore high-performance parallel computing with CUDA【電子書籍】[ Dr. Brian Tuomanen ]
楽天Kobo電子書籍ストア 		＜p＞＜strong＞Build real-world applications with Python 2.7, CUDA 9, and CUDA 10. We suggest the use of Python 2.7 over Python 3.x, since Python 2.7 has stable support across all the libraries we use in this book.＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Expand your background in GPU programmingーPyCUDA, scikit-cuda, and Nsight＜/li＞ ＜li＞Effectively use CUDA libraries such as cuBLAS, cuFFT, and cuSolver＜/li＞ ＜li＞Apply GPU programming to modern data science applications＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Hands-On GPU Programming with Python and CUDA hits the ground running: you’ll start by learning how to apply Amdahl’s Law, use a code profiler to identify bottlenecks in your Python code, and set up an appropriate GPU programming environment. You’ll then see how to “query” the GPU’s features and copy arrays of data to and from the GPU’s own memory.＜/p＞ ＜p＞As you make your way through the book, you’ll launch code directly onto the GPU and write full blown GPU kernels and device functions in CUDA C. You’ll get to grips with profiling GPU code effectively and fully test and debug your code using Nsight IDE. Next, you’ll explore some of the more well-known NVIDIA libraries, such as cuFFT and cuBLAS.＜/p＞ ＜p＞With a solid background in place, you will now apply your new-found knowledge to develop your very own GPU-based deep neural network from scratch. You’ll then explore advanced topics, such as warp shuffling, dynamic parallelism, and PTX assembly. In the final chapter, you’ll see some topics and applications related to GPU programming that you may wish to pursue, including AI, graphics, and blockchain.＜/p＞ ＜p＞By the end of this book, you will be able to apply GPU programming to problems related to data science and high-performance computing.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Launch GPU code directly from Python＜/li＞ ＜li＞Write effective and efficient GPU kernels and device functions＜/li＞ ＜li＞Use libraries such as cuFFT, cuBLAS, and cuSolver＜/li＞ ＜li＞Debug and profile your code with Nsight and Visual Profiler＜/li＞ ＜li＞Apply GPU programming to datascience problems＜/li＞ ＜li＞Build a GPU-based deep neuralnetwork from scratch＜/li＞ ＜li＞Explore advanced GPU hardware features, such as warp shuffling＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞Hands-On GPU Programming with Python and CUDA is for developers and data scientists who want to learn the basics of effective GPU programming to improve performance using Python code. You should have an understanding of first-year college or university-level engineering mathematics and physics, and have some experience with Python as well as in any C-based programming language such as C, C++, Go, or Java.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 4,981円

Interpretable Machine Learning with Python Build explainable, fair, and robust high-performance models with hands-on, real-world examples【電子書籍】[ Serg Mas?s ]
楽天Kobo電子書籍ストア 		＜p＞＜b＞A deep dive into the key aspects and challenges of machine learning interpretability using a comprehensive toolkit, including SHAP, feature importance, and causal inference, to build fairer, safer, and more reliable models. Purchase of the print or Kindle book includes a free eBook in PDF format.＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Interpret real-world data, including cardiovascular disease data and the COMPAS recidivism scores＜/li＞＜li＞Build your interpretability toolkit with global, local, model-agnostic, and model-specific methods＜/li＞＜li＞Analyze and extract insights from complex models from CNNs to BERT to time series models＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Interpretable Machine Learning with Python, Second Edition, brings to light the key concepts of interpreting machine learning models by analyzing real-world data, providing you with a wide range of skills and tools to decipher the results of even the most complex models. Build your interpretability toolkit with several use cases, from flight delay prediction to waste classification to COMPAS risk assessment scores. This book is full of useful techniques, introducing them to the right use case. Learn traditional methods, such as feature importance and partial dependence plots to integrated gradients for NLP interpretations and gradient-based attribution methods, such as saliency maps. In addition to the step-by-step code, you’ll get hands-on with tuning models and training data for interpretability by reducing complexity, mitigating bias, placing guardrails, and enhancing reliability. By the end of the book, you’ll be confident in tackling interpretability challenges with black-box models using tabular, language, image, and time series data.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Progress from basic to advanced techniques, such as causal inference and quantifying uncertainty＜/li＞＜li＞Build your skillset from analyzing linear and logistic models to complex ones, such as CatBoost, CNNs, and NLP transformers＜/li＞＜li＞Use monotonic and interaction constraints to make fairer and safer models＜/li＞＜li＞Understand how to mitigate the influence of bias in datasets＜/li＞＜li＞Leverage sensitivity analysis factor prioritization and factor fixing for any model＜/li＞＜li＞Discover how to make models more reliable with adversarial robustness＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for data scientists, machine learning developers, machine learning engineers, MLOps engineers, and data stewards who have an increasingly critical responsibility to explain how the artificial intelligence systems they develop work, their impact on decision making, and how they identify and manage bias. It’s also a useful resource for self-taught ML enthusiasts and beginners who want to go deeper into the subject matter, though a good grasp of the Python programming language is needed to implement the examples.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 4,304円

Data Analysis with Open Source Tools A Hands-On Guide for Programmers and Data Scientists【電子書籍】[ Philipp K. Janert ]
楽天Kobo電子書籍ストア 		＜p＞Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications.＜/p＞ ＜p＞Along the way, you'll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you'll learn how to think about the results you want to achieve -- rather than rely on tools to think for you.＜/p＞ ＜ul＞ ＜li＞Use graphics to describe data with one, two, or dozens of variables＜/li＞ ＜li＞Develop conceptual models using back-of-the-envelope calculations, as well as scaling and probability arguments＜/li＞ ＜li＞Mine data with computationally intensive methods such as simulation and clustering＜/li＞ ＜li＞Make your conclusions understandable through reports, dashboards, and other metrics programs＜/li＞ ＜li＞Understand financial calculations, including the time-value of money＜/li＞ ＜li＞Use dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situations＜/li＞ ＜li＞Become familiar with different open source programming environments for data analysis＜/li＞ ＜/ul＞ ＜p＞"Finally, a concise reference for understanding how to conquer piles of data." --Austin King, Senior Web Developer, Mozilla＜/p＞ ＜p＞"An indispensable text for aspiring data scientists." --Michael E. Driscoll, CEO/Founder, Dataspora＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 2,895円

What is Reiki Hands on Healing With Energy A Guide to Self-Healing and Spiritual Cleansing Through Reiki Training【電子書籍】[ Theresa Carver ]
楽天Kobo電子書籍ストア 		＜p＞What is Reiki Hands on Healing With Energy＜/p＞ ＜p＞Reiki: What is Reiki Healing? Learn Reiki, Gain Emotional Healing and Chakra Healing with Reiki Therapy and Reiki Meditation, the Benefits of Reiki Healing Touch Through Healing Hands, A Guide to Self-Healing and Spiritual Cleansing Through Reiki Training＜/p＞ ＜p＞Reiki is a Japanese type of spiritual practice also used for stress reduction and relaxation. It is a technique that also helps promote healing either for self or for other people. It is characterized as a practice of "laying of hands".＜/p＞ ＜p＞The healing powers of the technique are based on the idea that there is an unseen "life force energy" that flows through each person. This life force is said to be the reason why people are alive. When one's life force energy is low, then people are likely to get sick or feel weak. If the life force is high, people fell healthy and happy.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 644円

Learn SQL using MySQL in One Day and Learn It Well SQL for beginners with Hands-on Project【電子書籍】[ Jamie Chan ]
楽天Kobo電子書籍ストア 		＜p＞＜b＞Master SQL and unlock the power of database management. From basics to advanced queries, this book guides you through practical exercises to efficiently manage data.＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Step-by-step guidance from basic to advanced SQL techniques＜/li＞＜li＞Comprehensive coverage of MySQL, a leading database management system＜/li＞＜li＞Practical exercises with solutions to reinforce learning＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Learn SQL (using MySQL) in One Day and Learn It Well is the ultimate guide for beginners aiming to grasp the complexities of SQL through hands-on learning. Starting with an introduction to the essence of databases, this book methodically advances through defining and manipulating tables, mastering data insertion, updates, deletions, and executing sophisticated data selection techniques across its comprehensive chapters. It further explores the creation and utility of views, the implementation of triggers to automate database responses, and the intricacies of variables, stored routines, control flow tools, and cursors, culminating in a capstone project that brings all concepts together. Culminating in a project , this book offers a unique opportunity to apply all the learned concepts in a practical, real-world scenario, reinforcing the skills and knowledge acquired throughout the chapters. The appendices provide additional resources including table definitions for practical exercises modeled on real-world scenarios. Embark on a learning journey that transitions you from novice to proficient in managing and querying databases with MySQL, empowering you with the skills to tackle real-world data challenges.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Understand the fundamental concepts and architecture of databases＜/li＞＜li＞Define and design efficient database tables to store data logically＜/li＞＜li＞Utilize advanced selection techniques to manipulate & analyze data＜/li＞＜li＞Create views to simplify complex queries and enhance accessibility＜/li＞＜li＞Implement triggers to automate database operations＜/li＞＜li＞Complete a hands-on project to apply skills in a practical scenario＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is ideal for individuals with no prior experience in SQL or database management. It is perfect for those looking to acquire a strong foundational understanding of SQL using MySQL. Pre-requisites include basic computer literacy and an eagerness to learn data management techniques.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 1,033円

Hands-On Agile Software Development with JIRA Design and manage software projects using the Agile methodology【電子書籍】[ David Harned ]
楽天Kobo電子書籍ストア 		＜p＞＜strong＞Plan, track, and release great software＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Learn to create reports and dashboard for effective project management＜/li＞ ＜li＞Implement your development strategy in JIRA.＜/li＞ ＜li＞Practices to help you manage the issues in the development team＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞As teams scale in size, project management can get very complicated. One of the best tools to deal with this kind of problem is JIRA.＜/p＞ ＜p＞This book will start by organizing your project requirements and the principles of Agile development to get you started. You will then be introduced to set up a JIRA account and the JIRA ecosystem to help you implement a dashboard for your team's work and issues. You will learn how to manage any issues and bugs that might emerge in the development stage. Going ahead, the book will help you build reports and use them to plan the releases based on the study of the reports. Towards the end, you will come across working with the gathered data and create a dashboard that helps you track the project's development.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Create your first project (and manage existing projects) in JIRA＜/li＞ ＜li＞Manage your board view and backlogs in JIRA＜/li＞ ＜li＞Run a Scrum Sprint project in JIRA＜/li＞ ＜li＞Create reports (including topic-based reports)＜/li＞ ＜li＞Forecast using versions＜/li＞ ＜li＞Search for issues with JIRA Query Language (JQL)＜/li＞ ＜li＞Execute bulk changes to issues＜/li＞ ＜li＞Create custom filters, dashboards, and widgets＜/li＞ ＜li＞Create epics, stories, bugs, and tasks＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is for administrators who wants to apply the Agile approach to managing the issues, bugs, and releases in their software development projects using JIRA.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 3,320円

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow【電子書籍】[ Aur?lien G?ron ]
楽天Kobo電子書籍ストア 		＜p＞Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.＜/p＞ ＜p＞With this updated third edition, author Aur?lien G?ron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started.＜/p＞ ＜ul＞ ＜li＞Use Scikit-learn to track an example ML project end to end＜/li＞ ＜li＞Explore several models, including support vector machines, decision trees, random forests, and ensemble methods＜/li＞ ＜li＞Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection＜/li＞ ＜li＞Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, autoencoders, diffusion models, and transformers＜/li＞ ＜li＞Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning＜/li＞ ＜/ul＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 6,151円

Hands-On AI Trading with Python, QuantConnect, and AWS【電子書籍】[ Jiri Pik ]
楽天Kobo電子書籍ストア 		＜p＞＜strong＞Master the art of AI-driven algorithmic trading strategies through hands-on examples, in-depth insights, and step-by-step guidance＜/strong＞＜/p＞ ＜p＞＜em＞Hands-On AI Trading with Python, QuantConnect, and AWS＜/em＞ explores real-world applications of AI technologies in algorithmic trading. It provides practical examples with complete code, allowing readers to understand and expand their AI toolbelt.＜/p＞ ＜p＞Unlike other books, this one focuses on designing actual trading strategies rather than setting up backtesting infrastructure. It utilizes QuantConnect, providing access to key market data from Algoseek and others. Examples are available on the book's GitHub repository, written in Python, and include performance tearsheets or research Jupyter notebooks.＜/p＞ ＜p＞The book starts with an overview of financial trading and QuantConnect's platform, organized by AI technology used:＜/p＞ ＜ul＞ ＜li＞Examples include constructing portfolios with regression models, predicting dividend yields, and safeguarding against market volatility using machine learning packages like SKLearn and MLFinLab.＜/li＞ ＜li＞Use principal component analysis to reduce model features, identify pairs for trading, and run statistical arbitrage with packages like LightGBM.＜/li＞ ＜li＞Predict market volatility regimes and allocate funds accordingly.＜/li＞ ＜li＞Predict daily returns of tech stocks using classifiers.＜/li＞ ＜li＞Forecast Forex pairs' future prices using Support Vector Machines and wavelets.＜/li＞ ＜li＞Predict trading day momentum or reversion risk using TensorFlow and temporal CNNs.＜/li＞ ＜li＞Apply large language models (LLMs) for stock research analysis, including prompt engineering and building RAG applications.＜/li＞ ＜li＞Perform sentiment analysis on real-time news feeds and train time-series forecasting models for portfolio optimization.＜/li＞ ＜li＞Better Hedging by Reinforcement Learning and AI: Implement reinforcement learning models for hedging options and derivatives with PyTorch.＜/li＞ ＜li＞AI for Risk Management and Optimization: Use corrective AI and conditional portfolio optimization techniques for risk management and capital allocation.＜/li＞ ＜/ul＞ ＜p＞Written by domain experts, including Jiri Pik, Ernest Chan, Philip Sun, Vivek Singh, and Jared Broad, this book is essential for hedge fund professionals, traders, asset managers, and finance students. Integrate AI into your next algorithmic trading strategy with ＜em＞Hands-On AI Trading with Python, QuantConnect, and AWS＜/em＞.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 5,046円

Hands-On Microsoft Teams A practical guide to enhancing enterprise collaboration with Microsoft Teams and Office 365【電子書籍】[ Jo?o Ferreira ]
楽天Kobo電子書籍ストア 		＜p＞＜b＞(A new edition with enhanced coverage is now available) A complete guide on Teams filled with real-world scenarios and best practices to increase productivity and engagement＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Interactive approach to learn the key concepts of Teams and its implementation in modern workplace＜/li＞＜li＞Discover tips and techniques for extending Teams to meet your business requirements＜/li＞＜li＞Integrate Teams with various Microsoft services such as PowerShell, SharePoint, PowerApps, and Power Automate＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Microsoft Teams is a platform for unified communication in modern workplaces. It not only enables effective communication, but also helps you manage your resources through its integration with various Microsoft Office 365 services. This book offers a comprehensive introduction to the platform, getting you up to speed in no time. Complete with hands-on tutorials, and projects, this easy-to-follow guide will teach you how to use Teams in the best possible way. Starting with the basic concepts that will help you collaborate on Teams, this book takes you through expert techniques for creating and managing teams. A dedicated section also features industry practices to help enhance collaboration in modern workplaces. In later chapters, you’ll explore Microsoft services such as SharePoint, PowerApps, Power Automate, and learn how they interact with Microsoft Teams. You’ll also get to grips with dealing with permissions and security issues in managing private and public teams and channels. Along the way, you’ll discover practical scenarios that will help you improve the collaboration in your organization and increase productivity by using Teams features. By the end of this book, you’ll have hands-on experience of using Microsoft Teams, along with the skills you need to improve the way people collaborate in your organization.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Create teams, channels, and tabs in Microsoft Teams＜/li＞＜li＞Explore the Teams architecture and various Office 365 components included in Teams＜/li＞＜li＞Perform scheduling, and managing meetings and live events in Teams＜/li＞＜li＞Configure and manage apps in Teams＜/li＞＜li＞Design automated scripts for managing a Teams environment using PowerShell＜/li＞＜li＞Build your own Microsoft Teams app without writing code＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This Microsoft Teams book is for power users and business professionals looking to use Teams for improving collaboration in an enterprise environment. The book will also be useful for Office 365 administrators interested in implementing Microsoft Teams effectively by learning about and exploring expert tips and best practices to ensure good governance.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 4,734円

Hands-On Data Analysis with Pandas Efficiently perform data collection, wrangling, analysis, and visualization using Python【電子書籍】[ Stefanie Molin ]
楽天Kobo電子書籍ストア 		＜p＞＜strong＞Get to grips with pandasーa versatile and high-performance Python library for data manipulation, analysis, and discovery＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Perform efficient data analysis and manipulation tasks using pandas＜/li＞ ＜li＞Apply pandas to different real-world domains using step-by-step demonstrations＜/li＞ ＜li＞Get accustomed to using pandas as an effective data exploration tool＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Data analysis has become a necessary skill in a variety of positions where knowing how to work with data and extract insights can generate significant value.＜/p＞ ＜p＞Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will learn how to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification, using scikit-learn, to make predictions based on past data.＜/p＞ ＜p＞By the end of this book, you will be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Understand how data analysts and scientists gather and analyze data＜/li＞ ＜li＞Perform data analysis and data wrangling in Python＜/li＞ ＜li＞Combine, group, and aggregate data from multiple sources＜/li＞ ＜li＞Create data visualizations with pandas, matplotlib, and seaborn＜/li＞ ＜li＞Apply machine learning (ML) algorithms to identify patterns and make predictions＜/li＞ ＜li＞Use Python data science libraries to analyze real-world datasets＜/li＞ ＜li＞Use pandas to solve common data representation and analysis problems＜/li＞ ＜li＞Build Python scripts, modules, and packages for reusable analysis code＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is for data analysts, data science beginners, and Python developers who want to explore each stage of data analysis and scientific computing using a wide range of datasets. You will also find this book useful if you are a data scientist who is looking to implement pandas in machine learning. Working knowledge of Python programming language will be beneficial.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 4,704円

Security Monitoring with Wazuh A hands-on guide to effective enterprise security using real-life use cases in Wazuh【電子書籍】[ Rajneesh Gupta ]
楽天Kobo電子書籍ストア 		＜p＞＜b＞"This book equips you with the knowledge to effectively deploy and utilize Wazuh, helping your organization stay resilient against evolving cybersecurity threats." ? Santiago Bassett, Founder and CEO, Wazuh＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Written by a cybersecurity expert recognized for his leadership and contributions in the industry＜/li＞＜li＞Gain practical insights on using Wazuh for threat protection and compliance＜/li＞＜li＞Implement security monitoring aligned with MITRE ATT&CK, PCI DSS, and GDPR＜/li＞＜li＞Deploy Wazuh in cloud environments for security and compliance＜/li＞＜li＞Purchase of the print or Kindle book includes a free PDF eBook＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Strengthen your cybersecurity posture with Wazuh’s powerful security monitoring and compliance capabilities. Security Monitoring with Wazuh is a comprehensive, hands-on guide that helps you deploy, configure, and optimize Wazuh to detect threats, automate incident response, and enforce compliance. With real-world use cases, step-by-step configurations, and tool integrations, this book equips you to build an enterprise-grade defense system. You'll begin by setting up an Intrusion Detection System (IDS) using Wazuh and integrating Suricata to monitor network and host-based threats. Moving forward, you'll explore malware detection, vulnerability assessment, and security automation with SOAR. The book also covers threat intelligence, incident response, and proactive threat hunting, helping you detect and mitigate cybersecurity risks effectively. Beyond detection, you'll enforce compliance with industry standards such as MITRE ATT&CK, PCI DSS, and GDPR, ensuring regulatory adherence and security best practices. By integrating Wazuh with TheHive, Cortex, MISP, and other security tools, you'll streamline threat analysis and response. By the end of this book, you'll master Wazuh's full potential, enabling you to deploy, manage, and enhance security monitoring across your infrastructureーfrom on-premises to cloud environments.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Set up an intrusion detection system (IDS) using Wazuh and Suricata＜/li＞＜li＞Implement file integrity monitoring to detect unauthorized changes＜/li＞＜li＞Integrate MISP for automated threat intelligence and IOC detection＜/li＞＜li＞Leverage TheHive and Cortex for security automation and incident response＜/li＞＜li＞Deploy Wazuh for proactive malware detection and endpoint security＜/li＞＜li＞Use Shuffle to automate security operations and streamline responses＜/li＞＜li＞Hunt for threats with Osquery, log analysis, and MITRE ATT&CK mapping＜/li＞＜li＞Ensure compliance with PCI DSS, GDPR, and security best practices＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is designed for SOC analysts, security engineers, and security architects looking to deploy Wazuh for threat detection, incident response, and compliance monitoring. It provides practical guidance on setting up open-source SOC capabilities, including file integrity monitoring, security automation, and threat intelligence. Managed service providers seeking a scalable security monitoring system will also benefit. Basic knowledge of IT, cybersecurity, cloud, and Linux is recommended.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 3,874円

Data Structures and Algorithms in Python (2025) Learn Data Structures & Algorithms (Python) in One Day and Learn It Well. Data Structures & Algorithms for Beginners with Hands-on Project【電子書籍】[ Michael Goodrich ]
楽天Kobo電子書籍ストア 		＜p＞＜strong＞Unveiling the Essence of Data Structures and Algorithms: Your Path to Software Excellence!＜/strong＞＜/p＞ ＜p＞Are you ready to unravel the complexity of algorithms with ease? Look no further ? we've crafted the ultimate guide to demystify this intricate topic. Algorithms are the backbone of software programs, orchestrating data structure manipulations. Prepare for an enlightening journey filled with clear examples and hands-on workshops, all within an integrated development environment.＜/p＞ ＜p＞＜strong＞〓 **Mastering Data Structures & Algorithms: The Python Way** 〓＜/strong＞＜/p＞ ＜p＞＜strong＞〓 **Bridging the Gap Between Complexity and Comprehension** 〓＜/strong＞＜/p＞ ＜p＞Embark on your software development odyssey with an Introduction to Data Structures and Algorithms Made Easy in Python ? one of the most sought-after programming languages. Harness the extraordinary speed and precision of computers for data storage and processing. Efficient data organization and retrieval, coupled with swift and accurate data processing, form the bedrock of success.＜/p＞ ＜p＞＜strong＞〓 **Highlighting Our Approach** 〓＜/strong＞＜/p＞ ＜p＞＜strong＞〓 **Crystal-Clear Data Structures & Algorithms Illustrations** 〓＜/strong＞＜/p＞ ＜p＞Navigate the realm of data structures that dictate data organization and memory storage during program execution. It's important to distinguish persistent storage (like relational tables on disk) from these in-memory structures.＜/p＞ ＜p＞＜strong＞〓 **Advancing with Python and Algorithms** 〓＜/strong＞＜/p＞ ＜p＞Algorithms, those step-by-step guides to data processing, depend on cleverly woven data structures. In this book, we dive deep into these computer science pillars using the power of Python programming.＜/p＞ ＜p＞＜strong＞〓 **Unveiling What Lies Ahead** 〓＜/strong＞＜/p＞ ＜p＞Inside, you'll discover:＜/p＞ ＜p＞- A comprehensive introduction to the realm of data structures and algorithms.＜br /＞ - Seamless environment setup to ensure a smooth journey.＜br /＞ - Mastery over arrays, lists, and maps.＜br /＞ - Navigating the terrain of dictionaries and hashes.＜br /＞ - Commanding sorting techniques for optimal data arrangement.＜br /＞ - Strategic searching methods to swiftly retrieve information.＜br /＞ - Unleashing the potential of the binary tree structure.＜br /＞ - Designs of algorithms that underpin problem-solving.＜br /＞ - And much, much more, waiting for you to explore!＜/p＞ ＜p＞＜strong＞〓 **Embark on Your Software Mastery Odyssey Today!** 〓＜/strong＞＜/p＞ ＜p＞Are you ready to delve into the intricate world of data structures and algorithms? Your gateway to software excellence awaits ? seize the opportunity now.＜/p＞ ＜p＞＜strong＞〓 **Secure Your Data Structures & Algorithms Copy Today!** 〓＜/strong＞＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 4,884円

Foster's Complete Hoyle: An Encyclopedia of Games Including all indoor games played to-day. With suggestions for good play, illustrative hands, and all official laws to date【電子書籍】[ R. F. Foster ]
楽天Kobo電子書籍ストア 		＜p＞In "Foster's Complete Hoyle: An Encyclopedia of Games," R. F. Foster expertly compiles a comprehensive guide to the vast universe of games, both traditional and contemporary. This meticulously researched work features clear explanations of game rules, strategies, and historical contexts, making it an essential reference for both casual players and dedicated enthusiasts. Foster's engaging prose and organizational clarity reflect a deep understanding of game theory and cultural significance, offering insights into how games have shaped social interactions across centuries. R. F. Foster, an esteemed authority in game theory and a lifelong enthusiast of recreational pastimes, draws on extensive academic and personal experiences in crafting this encyclopedic text. His passion for games, coupled with a scholarly approach, enriches the narrative, illuminating the connections between leisure activities and broader societal trends. Foster's keen observations and captivating storytelling celebrate the psychological and social dynamics inherent in gameplay, making this work as much a historical document as a practical guide. This book is a must-have for anyone intrigued by the mechanics of games or interested in their cultural implications. Whether you are a casual player looking to explore new games, a parent seeking family-friendly options, or a scholar studying social constructs, "Foster's Complete Hoyle" provides both depth and accessibility, making it an invaluable addition to any library.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 300円

Hands-On Unsupervised Learning with Python Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more【電子書籍】[ Giuseppe Bonaccorso ]
楽天Kobo電子書籍ストア 		＜p＞＜strong＞Discover the skill-sets required to implement various approaches to Machine Learning with Python＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Explore unsupervised learning with clustering, autoencoders, restricted Boltzmann machines, and more＜/li＞ ＜li＞Build your own neural network models using modern Python libraries＜/li＞ ＜li＞Practical examples show you how to implement different machine learning and deep learning techniques＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Unsupervised learning is about making use of raw, untagged data and applying learning algorithms to it to help a machine predict its outcome. With this book, you will explore the concept of unsupervised learning to cluster large sets of data and analyze them repeatedly until the desired outcome is found using Python.＜/p＞ ＜p＞This book starts with the key differences between supervised, unsupervised, and semi-supervised learning. You will be introduced to the best-used libraries and frameworks from the Python ecosystem and address unsupervised learning in both the machine learning and deep learning domains. You will explore various algorithms, techniques that are used to implement unsupervised learning in real-world use cases. You will learn a variety of unsupervised learning approaches, including randomized optimization, clustering, feature selection and transformation, and information theory. You will get hands-on experience with how neural networks can be employed in unsupervised scenarios. You will also explore the steps involved in building and training a GAN in order to process images.＜/p＞ ＜p＞By the end of this book, you will have learned the art of unsupervised learning for different real-world challenges.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Use cluster algorithms to identify and optimize natural groups of data＜/li＞ ＜li＞Explore advanced non-linear and hierarchical clustering in action＜/li＞ ＜li＞Soft label assignments for fuzzy c-means and Gaussian mixture models＜/li＞ ＜li＞Detect anomalies through density estimation＜/li＞ ＜li＞Perform principal component analysis using neural network models＜/li＞ ＜li＞Create unsupervised models using GANs＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is intended for statisticians, data scientists, machine learning developers, and deep learning practitioners who want to build smart applications by implementing key building block unsupervised learning, and master all the new techniques and algorithms offered in machine learning and deep learning using real-world examples. Some prior knowledge of machine learning concepts and statistics is desirable.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 4,704円

Hands-On AWS Penetration Testing with Kali Linux Set up a virtual lab and pentest major AWS services, including EC2, S3, Lambda, and CloudFormation【電子書籍】[ Karl Gilbert ]
楽天Kobo電子書籍ストア 		＜p＞＜strong＞Identify tools and techniques to secure and perform a penetration test on an AWS infrastructure using Kali Linux＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Efficiently perform penetration testing techniques on your public cloud instances＜/li＞ ＜li＞Learn not only to cover loopholes but also to automate security monitoring and alerting within your cloud-based deployment pipelines＜/li＞ ＜li＞A step-by-step guide that will help you leverage the most widely used security platform to secure your AWS Cloud environment＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞The cloud is taking over the IT industry. Any organization housing a large amount of data or a large infrastructure has started moving cloud-ward ー and AWS rules the roost when it comes to cloud service providers, with its closest competitor having less than half of its market share. This highlights the importance of security on the cloud, especially on AWS. While a lot has been said (and written) about how cloud environments can be secured, performing external security assessments in the form of pentests on AWS is still seen as a dark art.＜/p＞ ＜p＞This book aims to help pentesters as well as seasoned system administrators with a hands-on approach to pentesting the various cloud services provided by Amazon through AWS using Kali Linux. To make things easier for novice pentesters, the book focuses on building a practice lab and refining penetration testing with Kali Linux on the cloud. This is helpful not only for beginners but also for pentesters who want to set up a pentesting environment in their private cloud, using Kali Linux to perform a white-box assessment of their own cloud resources. Besides this, there is a lot of in-depth coverage of the large variety of AWS services that are often overlooked during a pentest ー from serverless infrastructure to automated deployment pipelines.＜/p＞ ＜p＞By the end of this book, you will be able to identify possible vulnerable areas efficiently and secure your AWS cloud environment.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Familiarize yourself with and pentest the most common external-facing AWS services＜/li＞ ＜li＞Audit your own infrastructure and identify flaws, weaknesses, and loopholes＜/li＞ ＜li＞Demonstrate the process of lateral and vertical movement through a partially compromised AWS account＜/li＞ ＜li＞Maintain stealth and persistence within a compromised AWS account＜/li＞ ＜li＞Master a hands-on approach to pentesting＜/li＞ ＜li＞Discover a number of automated tools to ease the process of continuously assessing and improving the security stance of an AWS infrastructure＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞If you are a security analyst or a penetration tester and are interested in exploiting Cloud environments to reveal vulnerable areas and secure them, then this book is for you.＜/p＞ ＜p＞A basic understanding of penetration testing, cloud computing, and its security concepts is mandatory.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 4,704円

Hands-On Microservices with Spring Boot and Spring Cloud Build and deploy Java microservices using Spring Cloud, Istio, and Kubernetes【電子書籍】[ Magnus Larsson ]
楽天Kobo電子書籍ストア 		＜p＞＜b＞Apply microservices patterns to build resilient and scalable distributed systems＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Understand the challenges of building large-scale microservice landscapes＜/li＞＜li＞Build cloud-native production-ready microservices with this comprehensive guide＜/li＞＜li＞Discover how to get the best out of Spring Cloud, Kubernetes, and Istio when used together＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Microservices architecture allows developers to build and maintain applications with ease, and enterprises are rapidly adopting it to build software using Spring Boot as their default framework. With this book, you’ll learn how to efficiently build and deploy microservices using Spring Boot. This microservices book will take you through tried and tested approaches to building distributed systems and implementing microservices architecture in your organization. Starting with a set of simple cooperating microservices developed using Spring Boot, you’ll learn how you can add functionalities such as persistence, make your microservices reactive, and describe their APIs using Swagger/OpenAPI. As you advance, you’ll understand how to add different services from Spring Cloud to your microservice system. The book also demonstrates how to deploy your microservices using Kubernetes and manage them with Istio for improved security and traffic management. Finally, you’ll explore centralized log management using the EFK stack and monitor microservices using Prometheus and Grafana. By the end of this book, you’ll be able to build microservices that are scalable and robust using Spring Boot and Spring Cloud.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Build reactive microservices using Spring Boot＜/li＞＜li＞Develop resilient and scalable microservices using Spring Cloud＜/li＞＜li＞Use OAuth 2.0/OIDC and Spring Security to protect public APIs＜/li＞＜li＞Implement Docker to bridge the gap between development, testing, and production＜/li＞＜li＞Deploy and manage microservices using Kubernetes＜/li＞＜li＞Apply Istio for improved security, observability, and traffic management＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for Java and Spring developers and architects who want to learn how to break up their existing monoliths into microservices and deploy them either on-premises or in the cloud using Kubernetes as a container orchestrator and Istio as a service Mesh. No familiarity with microservices architecture is required to get started with this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 5,166円

Hands-On Unity 2021 Game Development Create, customize, and optimize your own professional games from scratch with Unity 2021, 2nd Edition【電子書籍】[ Nicolas Alejandro Borromeo ]
楽天Kobo電子書籍ストア 		＜p＞＜strong＞Achieve mesmerizing game experiences using the latest Unity 2021 features by following a practical approach to building professional games＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Unleash the capabilities of C# scripting to create UIs, graphics, game AI agents and more＜/li＞ ＜li＞Explore Unity's latest tools, including Universal Render Pipeline, Shader Graph, UI Toolkit, Visual Scripting, and VFX graph, to enhance graphics and animation＜/li＞ ＜li＞Build an AR experience using Unity's AR Foundation＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Learning how to use Unity is the quickest way to creating a full game, but that's not all you can do with this simple, yet comprehensive suite of video game development tools ? Unity is just as useful for creating AR/VR experiences, complex simulations, real-time realistic rendering, films, and practical games for training and education.＜/p＞ ＜p＞Hands-On Unity 2021 Game Development outlines a practical journey to creating your first full game from the ground up, building it step-by-step and applying your knowledge as you progress.＜/p＞ ＜p＞Complete with hands-on tutorials and projects, this easy-to-follow guide will teach you how to develop the game using several Unity tools. As you advance, you will learn how to use the Unity engine, create simple scripts using C#, integrate graphics, sound, and animations, and manipulate physics to create interesting mechanics for your game. You'll be able to apply all the knowledge that you gain to a real-world game.＜/p＞ ＜p＞Later chapters will show you how to code a simple AI agent to challenge the user and use profiling tools to ensure that the code runs efficiently. Finally, you'll work with Unity's AR tools to create AR experiences for 3D apps and games.＜/p＞ ＜p＞By the end of this Unity book, you will have created a complete game and built a solid foundation in using a wide variety of Unity tools.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Explore both C# and Visual Scripting tools to customize various aspects of a game, such as physics, gameplay, and the UI＜/li＞ ＜li＞Program rich shaders and effects using Unity's new Shader Graph and Universal Render Pipeline＜/li＞ ＜li＞Implement postprocessing to improve graphics quality with full-screen effects＜/li＞ ＜li＞Create rich particle systems for your Unity games from scratch using VFX Graph and Shuriken＜/li＞ ＜li＞Add animations to your game using the Animator, Cinemachine, and Timeline＜/li＞ ＜li＞Use the brand new UI Toolkit package to create user interfaces＜/li＞ ＜li＞Implement game AI to control character behavior＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is best suited for game developers looking to upgrade their knowledge and those who want to migrate their existing skills to the Unity game engine. Those with prior Unity knowledge will also benefit from the chapters exploring the latest features. While you'll still able to follow along if you don't have any programming experience, knowing the fundamentals of C# programming will help you get the most out of this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 4,704円

Hands-On Domain-Driven Design with .NET Core Tackling complexity in the heart of software by putting DDD principles into practice【電子書籍】[ Alexey Zimarev ]
楽天Kobo電子書籍ストア 		＜p＞＜strong＞Solve complex business problems by understanding users better, finding the right problem to solve, and building lean event-driven systems to give your customers what they really want＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Apply DDD principles using modern tools such as EventStorming, Event Sourcing, and CQRS＜/li＞ ＜li＞Learn how DDD applies directly to various architectural styles such as REST, reactive systems, and microservices＜/li＞ ＜li＞Empower teams to work flexibly with improved services and decoupled interactions＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Developers across the world are rapidly adopting DDD principles to deliver powerful results when writing software that deals with complex business requirements. This book will guide you in involving business stakeholders when choosing the software you are planning to build for them. By figuring out the temporal nature of behavior-driven domain models, you will be able to build leaner, more agile, and modular systems.＜/p＞ ＜p＞You'll begin by uncovering domain complexity and learn how to capture the behavioral aspects of the domain language. You will then learn about EventStorming and advance to creating a new project in .NET Core 2.1; you'll also and write some code to transfer your events from sticky notes to C#. The book will show you how to use aggregates to handle commands and produce events. As you progress, you'll get to grips with Bounded Contexts, Context Map, Event Sourcing, and CQRS. After translating domain models into executable C# code, you will create a frontend for your application using Vue.js. In addition to this, you'll learn how to refactor your code and cover event versioning and migration essentials.＜/p＞ ＜p＞By the end of this DDD book, you will have gained the confidence to implement the DDD approach in your organization and be able to explore new techniques that complement what you've learned from the book.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Discover and resolve domain complexity together with business stakeholders＜/li＞ ＜li＞Avoid common pitfalls when creating the domain model＜/li＞ ＜li＞Study the concept of Bounded Context and aggregate＜/li＞ ＜li＞Design and build temporal models based on behavior and not only data＜/li＞ ＜li＞Explore benefits and drawbacks of Event Sourcing＜/li＞ ＜li＞Get acquainted with CQRS and to-the-point read models with projections＜/li＞ ＜li＞Practice building one-way flow UI with Vue.js＜/li＞ ＜li＞Understand how a task-based UI conforms to DDD principles＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is for .NET developers who have an intermediate level understanding of C#, and for those who seek to deliver value, not just write code. Intermediate level of competence in JavaScript will be helpful to follow the UI chapters.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 4,981円

Hands-On Generative Adversarial Networks with PyTorch 1.x Implement next-generation neural networks to build powerful GAN models using Python【電子書籍】[ John Hany ]
楽天Kobo電子書籍ストア 		＜p＞＜strong＞Apply deep learning techniques and neural network methodologies to build, train, and optimize generative network models＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Implement GAN architectures to generate images, text, audio, 3D models, and more＜/li＞ ＜li＞Understand how GANs work and become an active contributor in the open source community＜/li＞ ＜li＞Learn how to generate photo-realistic images based on text descriptions＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞With continuously evolving research and development, Generative Adversarial Networks (GANs) are the next big thing in the field of deep learning. This book highlights the key improvements in GANs over generative models and guides in making the best out of GANs with the help of hands-on examples.＜/p＞ ＜p＞This book starts by taking you through the core concepts necessary to understand how each component of a GAN model works. You'll build your first GAN model to understand how generator and discriminator networks function. As you advance, you'll delve into a range of examples and datasets to build a variety of GAN networks using PyTorch functionalities and services, and become well-versed with architectures, training strategies, and evaluation methods for image generation, translation, and restoration. You'll even learn how to apply GAN models to solve problems in areas such as computer vision, multimedia, 3D models, and natural language processing (NLP). The book covers how to overcome the challenges faced while building generative models from scratch. Finally, you'll also discover how to train your GAN models to generate adversarial examples to attack other CNN and GAN models.＜/p＞ ＜p＞By the end of this book, you will have learned how to build, train, and optimize next-generation GAN models and use them to solve a variety of real-world problems.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Implement PyTorch's latest features to ensure efficient model designing＜/li＞ ＜li＞Get to grips with the working mechanisms of GAN models＜/li＞ ＜li＞Perform style transfer between unpaired image collections with CycleGAN＜/li＞ ＜li＞Build and train 3D-GANs to generate a point cloud of 3D objects＜/li＞ ＜li＞Create a range of GAN models to perform various image synthesis operations＜/li＞ ＜li＞Use SEGAN to suppress noise and improve the quality of speech audio＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This GAN book is for machine learning practitioners and deep learning researchers looking to get hands-on guidance in implementing GAN models using PyTorch. You'll become familiar with state-of-the-art GAN architectures with the help of real-world examples. Working knowledge of Python programming language is necessary to grasp the concepts covered in this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 4,012円

Practical Threat Intelligence and Data-Driven Threat Hunting A hands-on guide to threat hunting with the ATT&CK? Framework and open source tools【電子書籍】[ Valentina Costa-Gazcon ]
楽天Kobo電子書籍ストア 		＜p＞＜strong＞Get to grips with cyber threat intelligence and data-driven threat hunting while exploring expert tips and techniques＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Set up an environment to centralize all data in an Elasticsearch, Logstash, and Kibana (ELK) server that enables threat hunting＜/li＞ ＜li＞Carry out atomic hunts to start the threat hunting process and understand the environment＜/li＞ ＜li＞Perform advanced hunting using MITRE ATT&CK Evals emulations and Mordor datasets＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Threat hunting (TH) provides cybersecurity analysts and enterprises with the opportunity to proactively defend themselves by getting ahead of threats before they can cause major damage to their business.＜/p＞ ＜p＞This book is not only an introduction for those who don't know much about the cyber threat intelligence (CTI) and TH world, but also a guide for those with more advanced knowledge of other cybersecurity fields who are looking to implement a TH program from scratch.＜/p＞ ＜p＞You will start by exploring what threat intelligence is and how it can be used to detect and prevent cyber threats. As you progress, you'll learn how to collect data, along with understanding it by developing data models. The book will also show you how to set up an environment for TH using open source tools. Later, you will focus on how to plan a hunt with practical examples, before going on to explore the MITRE ATT&CK framework.＜/p＞ ＜p＞By the end of this book, you'll have the skills you need to be able to carry out effective hunts in your own environment.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Understand what CTI is, its key concepts, and how it is useful for preventing threats and protecting your organization＜/li＞ ＜li＞Explore the different stages of the TH process＜/li＞ ＜li＞Model the data collected and understand how to document the findings＜/li＞ ＜li＞Simulate threat actor activity in a lab environment＜/li＞ ＜li＞Use the information collected to detect breaches and validate the results of your queries＜/li＞ ＜li＞Use documentation and strategies to communicate processes to senior management and the wider business＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞If you are looking to start out in the cyber intelligence and threat hunting domains and want to know more about how to implement a threat hunting division with open-source tools, then this cyber threat intelligence book is for you.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 4,981円

Foster's Complete Hoyle: An Encyclopedia of Games Enriched edition. Including all indoor games played to-day. With suggestions for good play, illustrative hands, and all official laws to date【電子書籍】[ R. F. Foster ]
楽天Kobo電子書籍ストア 		＜p＞In "Foster's Complete Hoyle: An Encyclopedia of Games," R. F. Foster presents an exhaustive examination of games, ranging from traditional card games to contemporary board games. This comprehensive reference work blends meticulous research with an engaging narrative style, reflecting Foster's dedication to elucidating the rules, strategies, and historical contexts of each game. The book is framed within the rich tradition of game literature, drawing inspiration from the legacy of Edmond Hoyle while expanding the scope to include both well-known and obscure games, providing readers with a captivating exploration of leisure and competition across cultures and eras. R. F. Foster, a recognized authority on games as both a scholar and a player, brings a wealth of experience to this encyclopedia. His passion for gaming, coupled with a background in literature and history, informs his approach, allowing Foster to illuminate the intricate narratives and social dynamics behind each game. This intersection of personal interest and academic rigor enables him to present the subject of games not merely as entertainment but as a vital aspect of human interaction and cultural development. For anyone interested in the evolution of games and their role in society, "Foster's Complete Hoyle" is indispensable. It serves as a valuable resource for scholars, casual players, and those seeking to understand the complex interplay between games and culture. Foster's meticulous scholarship and accessible prose make this work an essential addition to any library. In this enriched edition, we have carefully created added value for your reading experience: - Handーpicked Memorable Quotes shine a spotlight on moments of literary brilliance. - Interactive footnotes clarify unusual references, historical allusions, and archaic phrases for an effortless, more informed read.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 300円

Interpretable Machine Learning with Python Learn to build interpretable high-performance models with hands-on real-world examples【電子書籍】[ Serg Mas?s ]
楽天Kobo電子書籍ストア 		＜p＞＜b＞A deep and detailed dive into the key aspects and challenges of machine learning interpretability, complete with the know-how on how to overcome and leverage them to build fairer, safer, and more reliable models＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Learn how to extract easy-to-understand insights from any machine learning model＜/li＞＜li＞Become well-versed with interpretability techniques to build fairer, safer, and more reliable models＜/li＞＜li＞Mitigate risks in AI systems before they have broader implications by learning how to debug black-box models＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Do you want to gain a deeper understanding of your models and better mitigate poor prediction risks associated with machine learning interpretation? If so, then Interpretable Machine Learning with Python deserves a place on your bookshelf. We’ll be starting off with the fundamentals of interpretability, its relevance in business, and exploring its key aspects and challenges. As you progress through the chapters, you'll then focus on how white-box models work, compare them to black-box and glass-box models, and examine their trade-off. You’ll also get you up to speed with a vast array of interpretation methods, also known as Explainable AI (XAI) methods, and how to apply them to different use cases, be it for classification or regression, for tabular, time-series, image or text. In addition to the step-by-step code, this book will also help you interpret model outcomes using examples. You’ll get hands-on with tuning models and training data for interpretability by reducing complexity, mitigating bias, placing guardrails, and enhancing reliability. The methods you’ll explore here range from state-of-the-art feature selection and dataset debiasing methods to monotonic constraints and adversarial retraining. By the end of this book, you'll be able to understand ML models better and enhance them through interpretability tuning. ＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Recognize the importance of interpretability in business＜/li＞＜li＞Study models that are intrinsically interpretable such as linear models, decision trees, and Na?ve Bayes＜/li＞＜li＞Become well-versed in interpreting models with model-agnostic methods＜/li＞＜li＞Visualize how an image classifier works and what it learns＜/li＞＜li＞Understand how to mitigate the influence of bias in datasets＜/li＞＜li＞Discover how to make models more reliable with adversarial robustness＜/li＞＜li＞Use monotonic constraints to make fairer and safer models＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is primarily written for data scientists, machine learning developers, and data stewards who find themselves under increasing pressures to explain the workings of AI systems, their impacts on decision making, and how they identify and manage bias. It’s also a useful resource for self-taught ML enthusiasts and beginners who want to go deeper into the subject matter, though a solid grasp on the Python programming language and ML fundamentals is needed to follow along.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 4,734円

Hands-On RTOS with Microcontrollers Building real-time embedded systems using FreeRTOS, STM32 MCUs, and SEGGER debug tools【電子書籍】[ Brian Amos ]
楽天Kobo電子書籍ストア 		＜p＞＜b＞Build reliable real-time embedded systems with FreeRTOS using practical techniques, professional tools, and industry-ready design practices＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Get up and running with the fundamentals of RTOS and apply them on STM32＜/li＞＜li＞Develop FreeRTOS-based applications with real-world timing and task handling＜/li＞＜li＞Use advanced debugging and performance analysis tools to optimize applications＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞A real-time operating system (RTOS) is used to develop systems that respond to events within strict timelines. Real-time embedded systems have applications in various industries, from automotive and aerospace through to laboratory test equipment and consumer electronics. These systems provide consistent and reliable timing and are designed to run without intervention for years. This microcontrollers book starts by introducing you to the concept of RTOS and compares some other alternative methods for achieving real-time performance. Once you've understood the fundamentals, such as tasks, queues, mutexes, and semaphores, you'll learn what to look for when selecting a microcontroller and development environment. By working through examples that use an STM32F7 Nucleo board, the STM32CubeIDE, and SEGGER debug tools, including SEGGER J-Link, Ozone, and SystemView, you'll gain an understanding of preemptive scheduling policies and task communication. The book will then help you develop highly efficient low-level drivers and analyze their real-time performance and CPU utilization. Finally, you'll cover tips for troubleshooting and be able to take your new-found skills to the next level. By the end, you'll have built on your embedded system skills and will be able to create real-time systems using microcontrollers and FreeRTOS.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Understand when to use an RTOS for a project＜/li＞＜li＞Explore RTOS concepts such as tasks, mutexes, semaphores, and queues＜/li＞＜li＞Discover different microcontroller units (MCUs) and choose the best one for your project＜/li＞＜li＞Evaluate and select the best IDE and middleware stack for your project＜/li＞＜li＞Use professional-grade tools for analyzing and debugging your application＜/li＞＜li＞Get FreeRTOS-based applications up and running on an STM32 board＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for embedded engineers, students, or anyone interested in learning the complete RTOS feature set with embedded devices. A basic understanding of the C programming language and embedded systems or microcontrollers will be helpful.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 5,166円

Hands-On Embedded Programming with Qt Develop high performance applications for embedded systems with C++ and Qt 5【電子書籍】[ John Werner ]
楽天Kobo電子書籍ストア 		＜p＞＜b＞A comprehensive guide that will get you up and running with embedded software development using Qt5＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Learn to create fluid, cross-platform applications for embedded devices＜/li＞＜li＞Achieve optimum performance in your applications with the QT Lite Project＜/li＞＜li＞Explore the implementation of Qt with IoT using QtMqtt, QtKNX, and QtWebSockets＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Qt is an open source toolkit suitable for cross-platform and embedded application development. This book uses inductive teaching to help you learn how to create applications for embedded and Internet of Things (IoT) devices with Qt 5. You’ll start by learning to develop your very first application with Qt. Next, you’ll build on the first application by understanding new concepts through hands-on projects and written text. Each project will introduce new features that will help you transform your basic first project into a connected IoT application running on embedded hardware. In addition to gaining practical experience in developing an embedded Qt project, you will also gain valuable insights into best practices for Qt development and explore advanced techniques for testing, debugging, and monitoring the performance of Qt applications. The examples and projects covered throughout the book can be run both locally and on an embedded platform. By the end of this book, you will have the skills you need to use Qt 5 to confidently develop modern embedded applications. ＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Understand how to develop Qt applications using Qt Creator on Linux＜/li＞＜li＞Explore various Qt GUI technologies to build resourceful and interactive applications＜/li＞＜li＞Understand Qt's threading model to maintain a responsive UI＜/li＞＜li＞Get to grips with remote target load and debug using Qt Creator＜/li＞＜li＞Become adept at writing IoT code using Qt＜/li＞＜li＞Learn a variety of software best practices to ensure that your code is efficient＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for software and hardware professionals with experience in different domains who are seeking new career opportunities in embedded systems and IoT. Working knowledge of the C++ Linux command line will be useful to get the most out of this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 4,734円

Hands-On Geospatial Analysis with R and QGIS A beginner’s guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2【電子書籍】[ Shammunul Islam ]
楽天Kobo電子書籍ストア 		＜p＞＜strong＞Practical examples with real-world projects in GIS, Remote sensing, Geospatial data management and Analysis using the R programming language＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Understand the basics of R and QGIS to work with GIS and remote sensing data＜/li＞ ＜li＞Learn to manage, manipulate, and analyze spatial data using R and QGIS＜/li＞ ＜li＞Apply machine learning algorithms to geospatial data using R and QGIS＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Managing spatial data has always been challenging and it's getting more complex as the size of data increases. Spatial data is actually big data and you need different tools and techniques to work your way around to model and create different workflows. R and QGIS have powerful features that can make this job easier.＜/p＞ ＜p＞This book is your companion for applying machine learning algorithms on GIS and remote sensing data. You’ll start by gaining an understanding of the nature of spatial data and installing R and QGIS. Then, you’ll learn how to use different R packages to import, export, and visualize data, before doing the same in QGIS. Screenshots are included to ease your understanding.＜/p＞ ＜p＞Moving on, you’ll learn about different aspects of managing and analyzing spatial data, before diving into advanced topics. You’ll create powerful data visualizations using ggplot2, ggmap, raster, and other packages of R. You’ll learn how to use QGIS 3.2.2 to visualize and manage (create, edit, and format) spatial data. Different types of spatial analysis are also covered using R. Finally, you’ll work with landslide data from Bangladesh to create a landslide susceptibility map using different machine learning algorithms.＜/p＞ ＜p＞By reading this book, you’ll transition from being a beginner to an intermediate user of GIS and remote sensing data in no time.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Install R and QGIS＜/li＞ ＜li＞Get familiar with the basics of R programming and QGIS＜/li＞ ＜li＞Visualize quantitative and qualitative data to create maps＜/li＞ ＜li＞Find out the basics of raster data and how to use them in R and QGIS＜/li＞ ＜li＞Perform geoprocessing tasks and automate them using the graphical modeler of QGIS＜/li＞ ＜li＞Apply different machine learning algorithms on satellite data for landslide susceptibility mapping and prediction＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is great for geographers, environmental scientists, statisticians, and every professional who deals with spatial data. If you want to learn how to handle GIS and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful but is not necessary.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 5,534円

Hands-On Gradient Boosting with XGBoost and scikit-learn Perform accessible machine learning and extreme gradient boosting with Python【電子書籍】[ Corey Wade ]
楽天Kobo電子書籍ストア 		＜p＞＜strong＞Get to grips with building robust XGBoost models using Python and scikit-learn for deployment＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Get up and running with machine learning and understand how to boost models with XGBoost in no time＜/li＞ ＜li＞Build real-world machine learning pipelines and fine-tune hyperparameters to achieve optimal results＜/li＞ ＜li＞Discover tips and tricks and gain innovative insights from XGBoost Kaggle winners＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞XGBoost is an industry-proven, open-source software library that provides a gradient boosting framework for scaling billions of data points quickly and efficiently.＜/p＞ ＜p＞The book introduces machine learning and XGBoost in scikit-learn before building up to the theory behind gradient boosting. You'll cover decision trees and analyze bagging in the machine learning context, learning hyperparameters that extend to XGBoost along the way. You'll build gradient boosting models from scratch and extend gradient boosting to big data while recognizing speed limitations using timers. Details in XGBoost are explored with a focus on speed enhancements and deriving parameters mathematically. With the help of detailed case studies, you'll practice building and fine-tuning XGBoost classifiers and regressors using scikit-learn and the original Python API. You'll leverage XGBoost hyperparameters to improve scores, correct missing values, scale imbalanced datasets, and fine-tune alternative base learners. Finally, you'll apply advanced XGBoost techniques like building non-correlated ensembles, stacking models, and preparing models for industry deployment using sparse matrices, customized transformers, and pipelines.＜/p＞ ＜p＞By the end of the book, you'll be able to build high-performing machine learning models using XGBoost with minimal errors and maximum speed.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Build gradient boosting models from scratch＜/li＞ ＜li＞Develop XGBoost regressors and classifiers with accuracy and speed＜/li＞ ＜li＞Analyze variance and bias in terms of fine-tuning XGBoost hyperparameters＜/li＞ ＜li＞Automatically correct missing values and scale imbalanced data＜/li＞ ＜li＞Apply alternative base learners like dart, linear models, and XGBoost random forests＜/li＞ ＜li＞Customize transformers and pipelines to deploy XGBoost models＜/li＞ ＜li＞Build non-correlated ensembles and stack XGBoost models to increase accuracy＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is for data science professionals and enthusiasts, data analysts, and developers who want to build fast and accurate machine learning models that scale with big data. Proficiency in Python, along with a basic understanding of linear algebra, will help you to get the most out of this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 5,950円

Hands-On Data Structures and Algorithms with Python Store, manipulate, and access data effectively and boost the performance of your applications, 3rd Edition【電子書籍】[ Dr. Basant Agarwal ]
楽天Kobo電子書籍ストア 		＜p＞＜strong＞Understand how implementing different data structures and algorithms intelligently can make your Python code and applications more maintainable and efficient＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Explore functional and reactive implementations of traditional and advanced data structures＜/li＞ ＜li＞Apply a diverse range of algorithms in your Python code＜/li＞ ＜li＞Implement the skills you have learned to maximize the performance of your applications＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Choosing the right data structure is pivotal to optimizing the performance and scalability of applications. This new edition of Hands-On Data Structures and Algorithms with Python will expand your understanding of key structures, including stacks, queues, and lists, and also show you how to apply priority queues and heaps in applications. You'll learn how to analyze and compare Python algorithms, and understand which algorithms should be used for a problem based on running time and computational complexity. You will also become confident organizing your code in a manageable, consistent, and scalable way, which will boost your productivity as a Python developer.＜/p＞ ＜p＞By the end of this Python book, you'll be able to manipulate the most important data structures and algorithms to more efficiently store, organize, and access data in your applications.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Understand common data structures and algorithms using examples, diagrams, and exercises＜/li＞ ＜li＞Explore how more complex structures, such as priority queues and heaps, can benefit your code＜/li＞ ＜li＞Implement searching, sorting, and selection algorithms on number and string sequences＜/li＞ ＜li＞Become confident with key string-matching algorithms＜/li＞ ＜li＞Understand algorithmic paradigms and apply dynamic programming techniques＜/li＞ ＜li＞Use asymptotic notation to analyze algorithm performance with regard to time and space complexities＜/li＞ ＜li＞Write powerful, robust code using the latest features of Python＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is for developers and programmers who are interested in learning about data structures and algorithms in Python to write complex, flexible programs. Basic Python programming knowledge is expected.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 5,534円

Drawing Hands With Over 1000 Illustrations【電子書籍】[ Victor Perard ]
楽天Kobo電子書籍ストア 		＜p＞Second in importance only to the face, hands play a key role in expressing emotional statesーfrom anger and fear to resignation, serenity, and surprise. This resource features more than 1,000 illustrations, offering figure artists at all skill levels insights into the structure, character, and expression of hands.＜br /＞ Artist and instructor Victor Perard emphasizes the anatomy of the hand: the bones that make up its framework and define its proportions and the muscles that direct its actions. In addition to notes on proportion and perspective, he groups the illustrations of hands in a manner that accents the modifications of their form as they are viewed from various angles. The tremendous variety of images ranges from male and female hands engaged in work and leisure activities to the hands of athletes, babies, and the elderly.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 1,622円

Hands-On High Performance Programming with Qt 5 Build cross-platform applications using concurrency, parallel programming, and memory management【電子書籍】[ Marek Krajewski ]
楽天Kobo電子書籍ストア 		＜p＞＜strong＞Build efficient and fast Qt applications, target performance problems, and discover solutions to refine your code＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Build efficient and concurrent applications in Qt to create cross-platform applications＜/li＞ ＜li＞Identify performance bottlenecks and apply the correct algorithm to improve application performance＜/li＞ ＜li＞Delve into parallel programming and memory management to optimize your code＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Achieving efficient code through performance tuning is one of the key challenges faced by many programmers. This book looks at Qt programming from a performance perspective. You'll explore the performance problems encountered when using the Qt framework and means and ways to resolve them and optimize performance.＜/p＞ ＜p＞The book highlights performance improvements and new features released in Qt 5.9, Qt 5.11, and 5.12 (LTE). You'll master general computer performance best practices and tools, which can help you identify the reasons behind low performance, and the most common performance pitfalls experienced when using the Qt framework. In the following chapters, you'll explore multithreading and asynchronous programming with C++ and Qt and learn the importance and efficient use of data structures. You'll also get the opportunity to work through techniques such as memory management and design guidelines, which are essential to improve application performance. Comprehensive sections that cover all these concepts will prepare you for gaining hands-on experience of some of Qt's most exciting application fields - the mobile and embedded development domains.＜/p＞ ＜p＞By the end of this book, you'll be ready to build Qt applications that are more efficient, concurrent, and performance-oriented in nature＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Understand classic performance best practices＜/li＞ ＜li＞Get to grips with modern hardware architecture and its performance impact＜/li＞ ＜li＞Implement tools and procedures used in performance optimization＜/li＞ ＜li＞Grasp Qt-specific work techniques for graphical user interface (GUI) and platform programming＜/li＞ ＜li＞Make Transmission Control Protocol (TCP) and Hypertext Transfer Protocol (HTTP) performant and use the relevant Qt classes＜/li＞ ＜li＞Discover the improvements Qt 5.9 (and the upcoming versions) holds in store＜/li＞ ＜li＞Explore Qt's graphic engine architecture, strengths, and weaknesses＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is designed for Qt developers who wish to build highly performance applications for desktop and embedded devices. Programming Experience with C++ is required.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 4,704円

Hands-On Genetic Algorithms with Python Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems【電子書籍】[ Eyal Wirsansky ]
楽天Kobo電子書籍ストア 		＜p＞＜b＞Explore the ever-growing world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine learning models using Python libraries such as DEAP, scikit-learn, and NumPy＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Explore the ins and outs of genetic algorithms with this fast-paced guide＜/li＞＜li＞Implement tasks such as feature selection, search optimization, and cluster analysis using Python＜/li＞＜li＞Solve combinatorial problems, optimize functions, and enhance the performance of artificial intelligence applications＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Genetic algorithms are a family of search, optimization, and learning algorithms inspired by the principles of natural evolution. By imitating the evolutionary process, genetic algorithms can overcome hurdles encountered in traditional search algorithms and provide high-quality solutions for a variety of problems. This book will help you get to grips with a powerful yet simple approach to applying genetic algorithms to a wide range of tasks using Python, covering the latest developments in artificial intelligence. After introducing you to genetic algorithms and their principles of operation, you'll understand how they differ from traditional algorithms and what types of problems they can solve. You'll then discover how they can be applied to search and optimization problems, such as planning, scheduling, gaming, and analytics. As you advance, you'll also learn how to use genetic algorithms to improve your machine learning and deep learning models, solve reinforcement learning tasks, and perform image reconstruction. Finally, you'll cover several related technologies that can open up new possibilities for future applications. By the end of this book, you'll have hands-on experience of applying genetic algorithms in artificial intelligence as well as in numerous other domains.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Understand how to use state-of-the-art Python tools to create genetic algorithm-based applications＜/li＞＜li＞Use genetic algorithms to optimize functions and solve planning and scheduling problems＜/li＞＜li＞Enhance the performance of machine learning models and optimize deep learning network architecture＜/li＞＜li＞Apply genetic algorithms to reinforcement learning tasks using OpenAI Gym＜/li＞＜li＞Explore how images can be reconstructed using a set of semi-transparent shapes＜/li＞＜li＞Discover other bio-inspired techniques, such as genetic programming and particle swarm optimization＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for software developers, data scientists, and AI enthusiasts who want to use genetic algorithms to carry out intelligent tasks in their applications. Working knowledge of Python and basic knowledge of mathematics and computer science will help you get the most out of this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 4,304円
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