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商品	説明	価格
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
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。	4,085円
Buy Data Structures and Algorithms in Python (2024) 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】[ DS Publishing ] 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。	4,006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。	2,723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。	3,858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
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。	3,858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。	3,858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＞R. F. Foster's 'Foster's Complete Hoyle: An Encyclopedia of Games' is a comprehensive guide that delves into the world of games. The book covers a wide range of games with detailed instructions, rules, and strategies, making it a valuable resource for both beginners and seasoned players. Foster's writing style is clear and concise, making it easy for readers to understand and follow along. The context of the book lies in the rich history of game playing, showcasing the importance of games in various cultures and societies. This encyclopedia is not only informative but also a delightful read for anyone interested in the art of game playing. R. F. Foster, a respected author and historian, has a deep passion for games and their cultural significance. His expertise in history and literature has led him to compile this extensive encyclopedia, showcasing his knowledge and love for games of all kinds. Foster's meticulous research and attention to detail are evident throughout the book, making it a must-have for game enthusiasts and researchers alike. I highly recommend 'Foster's Complete Hoyle: An Encyclopedia of Games' to anyone looking to expand their knowledge of games and their history. Whether you are a casual player or a serious game enthusiast, this book offers valuable insights and information that will surely enhance your gaming experience.＜/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 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＞＜strong＞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＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜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＞＜h4＞Book Description＜/h4＞＜p＞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.＜/p＞＜p＞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.＜/p＞＜p＞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.＜/p＞＜h4＞What you will learn＜/h4＞＜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＞＜h4＞Who this book is for＜/h4＞＜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。	3,290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。	4,085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＞Foster's Complete Hoyle: An Encyclopedia of Games by R. F. Foster is a comprehensive guide to indoor games played during the author's time. The book offers expert advice on strategies, illustrative examples, and a complete set of official rules. Foster's work remains a valuable resource for enthusiasts and historians interested in the evolution of gaming and its cultural impact.＜/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 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
Python for Beginners. A Smarter Way to Learn Python in 5 Days and Remember it Longer. With Easy Step by Step Guidance and Hands on Examples. (Python Crash Course-Programming for Beginners)【電子書籍】[ Arthur T. Brooks ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Have you always wanted to learn computer programming but thought it was too difficult or would take too long?＜/strong＞＜/p＞＜p＞＜strong＞Do you want to know the secret to learning Python the easy way and start programming today?＜/strong＞＜/p＞＜p＞This book is for you.＜/p＞＜p＞You don't need to waste your time and money learning Python the hard way through tiresome technical books, expensive online courses and difficult Python tutorials.＜/p＞＜p＞This non-technical book will gently guide you through…＜/p＞＜p＞＜strong＞The Python Programming Language.＜/strong＞＜/p＞＜p＞You will learn the most concise methods to get you coding on day one-the smart way.＜/p＞＜p＞＜strong＞Python for Beginners.＜/strong＞＜/p＞＜p＞Beginner friendly hands on examples of practical and usable projects.＜/p＞＜p＞＜strong＞The most useful Python examples.＜/strong＞＜/p＞＜p＞Each example is specifically designed to give you a progressive and thorough understanding of key concepts and all answers are provided.＜/p＞＜p＞＜strong＞Strategic Python topics.＜/strong＞＜/p＞＜p＞The topics are presented in user friendly bite sized chunks to optimize a quick learning style which will also make it easy for you to remember.＜/p＞＜p＞This book is different in that it's primary focus it to teach you Python coding in a simple and concise format and in the quickest time frame possible. Each short chapter has exercises at the end which summarize what you have learned in a progressive manner to avoid overloading you with information.＜/p＞＜p＞Each exercise has been carefully chosen to enable you to master the language and retain what you have learned. No technical skills, previous knowledge or experience is required.＜/p＞＜p＞＜strong＞Download it now＜/strong＞＜/p＞＜p＞You'll also learn:＜/p＞＜p＞Exactly what is Python?＜/p＞＜p＞Which software do you need to code and run Python programs and where to find it?＜/p＞＜p＞What are variables?＜/p＞＜p＞What are strings and methods?＜/p＞＜p＞Using operations with numbers?＜/p＞＜p＞Using operations with lists?＜/p＞＜p＞How to use comments?＜/p＞＜p＞Working with loops?＜/p＞＜p＞Working with IF statements?＜/p＞＜p＞Operations involving dictionaries.＜/p＞＜p＞Operations using defined functions.＜/p＞＜p＞How to work with files?＜/p＞＜p＞How to manage errors and exceptions?＜/p＞＜p＞＜strong＞And more!＜/strong＞＜/p＞＜p＞Finally, you will be gently guided on how to put everything that you have learned together so that you can immediately start your own Python coding in your chosen real-world scenarios.＜/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。	450円
Hands-On Web Scraping with Python Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others【電子書籍】[ Anish Chapagain ] 楽天Kobo電子書籍ストア	＜p＞＜b＞Collect and scrape different complexities of data from the modern Web using the latest tools, best practices, and techniques ＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Learn different scraping techniques using a range of Python libraries such as Scrapy and Beautiful Soup＜/li＞＜li＞Build scrapers and crawlers to extract relevant information from the web＜/li＞＜li＞Automate web scraping operations to bridge the accuracy gap and manage complex business needs＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Web scraping is an essential technique used in many organizations to gather valuable data from web pages. This book will enable you to delve into web scraping techniques and methodologies. The book will introduce you to the fundamental concepts of web scraping techniques and how they can be applied to multiple sets of web pages. You'll use powerful libraries from the Python ecosystem such as Scrapy, lxml, pyquery, and bs4 to carry out web scraping operations. You will then get up to speed with simple to intermediate scraping operations such as identifying information from web pages and using patterns or attributes to retrieve information. This book adopts a practical approach to web scraping concepts and tools, guiding you through a series of use cases and showing you how to use the best tools and techniques to efficiently scrape web pages. You'll even cover the use of other popular web scraping tools, such as Selenium, Regex, and web-based APIs. By the end of this book, you will have learned how to efficiently scrape the web using different techniques with Python and other popular tools.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Analyze data and information from web pages＜/li＞＜li＞Learn how to use browser-based developer tools from the scraping perspective＜/li＞＜li＞Use XPath and CSS selectors to identify and explore markup elements＜/li＞＜li＞Learn to handle and manage cookies＜/li＞＜li＞Explore advanced concepts in handling HTML forms and processing logins＜/li＞＜li＞Optimize web securities, data storage, and API use to scrape data＜/li＞＜li＞Use Regex with Python to extract data＜/li＞＜li＞Deal with complex web entities by using Selenium to find and extract data＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for Python programmers, data analysts, web scraping newbies, and anyone who wants to learn how to perform web scraping from scratch. If you want to begin your journey in applying web scraping techniques to a range of web pages, then this book is what you need! A working knowledge of the Python programming language 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。	4,304円
Rust Web Programming A hands-on guide to developing fast and secure web apps with the Rust programming language【電子書籍】[ Maxwell Flitton ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Adopt the Rust programming language by learning how to build fully functional web applications and services and address challenges relating to safety and performance＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Build scalable web applications in Rust using popular frameworks such as Actix, Rocket, and Warp＜/li＞＜li＞Create front-end components that can be injected into multiple views＜/li＞＜li＞Develop data models in Rust to interact with the database＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Are safety and high performance a big concern for you while developing web applications?＜/p＞＜p＞While most programming languages have a safety or speed trade-off, Rust provides memory safety without using a garbage collector. This means that with its low memory footprint, you can build high-performance and secure web apps with relative ease.＜/p＞＜p＞This book will take you through each stage of the web development process, showing you how to combine Rust and modern web development principles to build supercharged web apps.＜/p＞＜p＞You'll start with an introduction to Rust and understand how to avoid common pitfalls when migrating from traditional dynamic programming languages. The book will show you how to structure Rust code for a project that spans multiple pages and modules. Next, you'll explore the Actix Web framework and get a basic web server up and running. As you advance, you'll learn how to process JSON requests and display data from the web app via HTML, CSS, and JavaScript. You'll also be able to persist data and create RESTful services in Rust. Later, you'll build an automated deployment process for the app on an AWS EC2 instance and Docker Hub. Finally, you'll play around with some popular web frameworks in Rust and compare them.＜/p＞＜p＞By the end of this Rust book, you'll be able to confidently create scalable and fast web applications with Rust.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Structure scalable web apps in Rust in Rocket, Actix Web, and Warp＜/li＞＜li＞Apply data persistence for your web apps using PostgreSQL＜/li＞＜li＞Build login, JWT, and config modules for your web apps＜/li＞＜li＞Serve HTML, CSS, and JavaScript from the Actix Web server＜/li＞＜li＞Build unit tests and functional API tests in Postman and Newman＜/li＞＜li＞Deploy the Rust app with NGINX and Docker onto an AWS EC2 instance＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book on web programming with Rust is for web developers who have programmed in traditional languages such as Python, Ruby, JavaScript, and Java and are looking to develop high-performance web applications with Rust. Although no prior experience with Rust is necessary, a solid understanding of web development principles and basic knowledge of HTML, CSS, and JavaScript are required if you want 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。	3,290円
Hands-On Microservices with Kotlin Build reactive and cloud-native microservices with Kotlin using Spring 5 and Spring Boot 2.0【電子書籍】[ Juan Antonio Medina Iglesias ] 楽天Kobo電子書籍ストア	＜p＞Build smart, efficient, and fast enterprise-grade web implementation of the microservices architecture that can be easily scaled. About This Book ? Write easy-to-maintain lean and clean code with Kotlin for developing better microservices ? Scale your Microserivces in your own cloud with Docker and Docker Swarm ? Explore Spring 5 functional reactive web programming with Spring WebFlux Who This Book Is For If you are a Kotlin developer with a basic knowledge of microservice architectures and now want to effectively implement these services on enterprise-level web applications, then this book is for you What You Will Learn ? Understand microservice architectures and principles ? Build microservices in Kotlin using Spring Boot 2.0 and Spring Framework 5.0 ? Create reactive microservices that perform non-blocking operations with Spring WebFlux ? Use Spring Data to get data reactively from MongoDB ? Test effectively with JUnit and Kotlin ? Create cloud-native microservices with Spring Cloud ? Build and publish Docker images of your microservices ? Scaling microservices with Docker Swarm ? Monitor microservices with JMX ? Deploy microservices in OpenShift Online In Detail With Google's inclusion of first-class support for Kotlin in their Android ecosystem, Kotlin's future as a mainstream language is assured. Microservices help design scalable, easy-to-maintain web applications; Kotlin allows us to take advantage of modern idioms to simplify our development and create high-quality services. With 100% interoperability with the JVM, Kotlin makes working with existing Java code easier. Well-known Java systems such as Spring, Jackson, and Reactor have included Kotlin modules to exploit its language features. This book guides the reader in designing and implementing services, and producing production-ready, testable, lean code that's shorter and simpler than a traditional Java implementation. Reap the benefits of using the reactive paradigm and take advantage of non-blocking techniques to take your services to the next level in terms of industry standards. You will consume NoSQL databases reactively to allow you to create high-throughput microservices. Create cloud-native microservices that can run on a wide range of cloud providers, and monitor them. You will create Docker containers for your microservices and scale them. Finally, you will deploy your microservices in OpenShift Online. Style and approach This book guides the reader in designing and implementing services, achieving production- ready, testable, easy-to-maintain, lean code that's shorter and simpler than a traditional Java implementation.＜/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。	4,540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＞＜strong＞A comprehensive guide that will get you up and running with embedded software development using Qt5＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Learn to create fluid, cross-platform applications for embedded devices＜/li＞＜li＞Achieve optimum performance in your applications with QT Lite project＜/li＞＜li＞Explore the implementation of Qt with IoT using QtMqtt, QtKNX, and QtWebSockets＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞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.＜/p＞＜p＞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 practical experience in developing an embedded Qt project, you will also gain valuable insights into best practices for Qt development, along with exploring advanced techniques for testing, debugging, and monitoring the performance of Qt applications. Through the course of the book, the examples and projects are demonstrated in a way so that they can be run both locally and on an embedded platform.＜/p＞＜p＞By the end of this book, you will have the skills you need to use Qt 5 to confidently develop modern embedded applications.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Understand how to develop Qt applications using Qt Creator under 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 under 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＞＜h4＞Who this book is for＜/h4＞＜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。	3,290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。	3,290円
Hands-On Data Structures and Algorithms with Python Write complex and powerful code using the latest features of Python 3.7, 2nd Edition【電子書籍】[ Dr. Basant Agarwal ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Learn to implement complex data structures and algorithms using Python＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Understand the analysis and design of fundamental Python data structures＜/li＞＜li＞Explore advanced Python concepts such as Big O notation and dynamic programming＜/li＞＜li＞Learn functional and reactive implementations of traditional data structures＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Data structures allow you to store and organize data efficiently. They are critical to any problem, provide a complete solution, and act like reusable code. Hands-On Data Structures and Algorithms with Python teaches you the essential Python data structures and the most common algorithms for building easy and maintainable applications.＜/p＞＜p＞This book helps you to understand the power of linked lists, double linked lists, and circular linked lists. You will learn to create complex data structures, such as graphs, stacks, and queues. As you make your way through the chapters, you will explore the application of binary searches and binary search trees, along with learning common techniques and structures used in tasks such as preprocessing, modeling, and transforming data. In the concluding chapters, you will get to grips with organizing your code in a manageable, consistent, and extendable way. You will also study how to bubble sort, selection sort, insertion sort, and merge sort algorithms in detail.＜/p＞＜p＞By the end of the book, you will have learned how to build components that are easy to understand, debug, and use in different applications. You will get insights into Python implementation of all the important and relevant algorithms.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Understand object representation, attribute binding, and data encapsulation＜/li＞＜li＞Gain a solid understanding of Python data structures using algorithms＜/li＞＜li＞Study algorithms using examples with pictorial representation＜/li＞＜li＞Learn complex algorithms through easy explanation, implementing Python＜/li＞＜li＞Build sophisticated and efficient data applications in Python＜/li＞＜li＞Understand common programming algorithms used in Python data science＜/li＞＜li＞Write efficient and robust code in Python 3.7＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is for developers who want to learn data structures and algorithms in Python to write complex and 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。	3,631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。	4,880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。	4,540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。	4,085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。	4,540円
Secure Web Application Development A Hands-On Guide with Python and Django【電子書籍】[ Matthew Baker ] 楽天Kobo電子書籍ストア	＜p＞Cyberattacks are becoming more commonplace and the Open Web Application Security Project (OWASP), estimates 94% of sites have flaws in their access control alone. Attacks evolve to work around new defenses, and defenses must evolve to remain effective. Developers need to understand the fundamentals of attacks and defenses in order to comprehend new techniques as they become available. This book teaches you how to write secure web applications.＜/p＞＜p＞The focus is highlighting how hackers attack applications along with a broad arsenal of defenses. This will enable you to pick appropriate techniques to close vulnerabilities while still providing users with their needed functionality.＜/p＞＜p＞Topics covered include:＜/p＞＜p＞A framework for deciding what needs to be protected and how strongly＜/p＞＜p＞Configuring services such as databases and web servers＜/p＞＜p＞Safe use of HTTP methods such as GET, POST, etc, cookies and use of HTTPS＜/p＞＜p＞Safe REST APIs＜/p＞＜p＞Server-side attacks and defenses such as injection and cross-site scripting＜/p＞＜p＞Client-side attacks and defenses such as cross-site request forgery＜/p＞＜p＞Security techniques such as CORS, CSP＜/p＞＜p＞Password management, authentication and authorization, including OAuth2＜/p＞＜p＞Best practices for dangerous operations such as password change and reset＜/p＞＜p＞Use of third-party components and supply chain security (Git, CI/CD etc)＜/p＞＜p＞＜strong＞What You'll Learn＜/strong＞＜/p＞＜ul＞＜li＞＜/li＞＜li＞＜p＞Review the defenses that can used to prevent attacks＜/p＞＜/li＞＜li＞＜p＞Model risks to better understand what to defend and how＜/p＞＜/li＞＜li＞＜p＞Choose appropriate techniques to defend against attacks＜/p＞＜/li＞＜li＞＜p＞Implement defenses in Python/Django applications＜/p＞＜/li＞＜/ul＞＜p＞＜strong＞Who This Book Is For＜/strong＞＜/p＞＜ul＞＜li＞Developers who already know how to build web applications but need to know more about security＜/li＞＜li＞Non-professional software engineers, such as scientists, who must develop web tools and want to make their algorithms available to a wider audience.＜/li＞＜li＞Engineers and managers who are responsible for their product/company technical security policy＜/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。	7,292円
Rendezvous with Practical Solidity A COMPLETE HANDS ON BOOK【電子書籍】[ Harish Jaggi ] 楽天Kobo電子書籍ストア	＜p＞Blockchain canvass is getting bigger and better every day. One of the most vital offerings of blockchain is smart contracts. Solidity is a prominent language that is widely practiced in the development of smart contracts using Ethereum, an emerging technology that promises the ability to disrupt traditional solutions to business through a decentralized ledger.＜/p＞＜p＞The real essence of this book is the practical knowledge it provides to learn the revolutionary Solidity language. This book delivers deep practical depth with the help of code recipes coupled with step-by-step environment setup details along with the output of each recipe that can be verified by readers instantly on Remix or a local environment. Hence, this book is a unique offering for developers and architects. The focus is to enable readers build secure and scalable smart contracts with Solidity using the Ethereum ecosystem. This book encompasses basics as well as advanced topics, making it useful for beginners, advanced programmers, and enterprise architects alike. You’ll find detailed sample code recipes providing enriching experience on every single aspect of Solidity. Explore and delight yourself.＜/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。	528円
PYTHON: Practical Python Programming For Beginners & Experts With Hands-on Project【電子書籍】[ Mark Chan ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞PYTHONThe Ultimate Python One Day Quickstart Guide. Practical Python ＜em＞Programming For Beginners & Experts With Hands-on Project＜/em＞＜/strong＞＜/p＞＜p＞This book contains proven steps and strategies on how to learn Python programming in just a few days. While I don't profess to be able to make you a fully- fledged programmer in that time, my book is aimed at teaching you the basics of Python.＜/p＞＜p＞Why Python?＜/p＞＜p＞Why not C+, Swift, Ruby or Java?＜/p＞＜p＞There are a lot of very good computer programs out there and each has its pitfalls and its good side. Python is the easiest to learn and once you have a good grounding in it, you can move on to another, more complicated language.＜/p＞＜p＞Python is a beautiful computer language. It is simple, and it is intuitive. It comes complete with plenty of libraries and frameworks to help you manage most everything you want to do. And, to back it up, there is a very powerful Python community just waiting to help you out and point you in the right direction.＜/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。	350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