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1412件中 31件 - 60件 1 2 3 4 5 6 7

商品	説明	価格
Hands-On RESTful Web Services with Go Develop elegant RESTful APIs with Golang for microservices and the cloud, 2nd Edition【電子書籍】[ Naren Yellavula ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Design production-ready, testable, and maintainable RESTful web services for the modern web that scale easily＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Employ a combination of custom and open source solutions for application program interface (API) development＜/li＞＜li＞Discover asynchronous API and API security patterns and learn how to deploy your web services to the cloud＜/li＞＜li＞Apply design patterns and techniques to build reactive and scalable web services＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Building RESTful web services can be tough as there are countless standards and ways to develop API. In modern architectures such as microservices, RESTful APIs are common in communication, making idiomatic and scalable API development crucial. This book covers basic through to advanced API development concepts and supporting tools.＜/p＞＜p＞You'll start with an introduction to REST API development before moving on to building the essential blocks for working with Go. You'll explore routers, middleware, and available open source web development solutions in Go to create robust APIs, and understand the application and database layers to build RESTful web services. You'll learn various data formats like protocol buffers and JSON, and understand how to serve them over HTTP and gRPC. After covering advanced topics such as asynchronous API design and GraphQL for building scalable web services, you'll discover how microservices can benefit from REST. You'll also explore packaging artifacts in the form of containers and understand how to set up an ideal deployment ecosystem for web services. Finally, you'll cover the provisioning of infrastructure using infrastructure as code (IaC) and secure your REST API.＜/p＞＜p＞By the end of the book, you'll have intermediate knowledge of web service development and be able to apply the skills you've learned in a practical way.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Explore the fundamentals of API development and web services＜/li＞＜li＞Understand the various building blocks of API development in Go＜/li＞＜li＞Use superior open source solutions for representational state transfer (REST) API development＜/li＞＜li＞Scale a service using microservices and asynchronous design patterns＜/li＞＜li＞Deliver containerized artifacts to the Amazon Web Services (AWS) Cloud＜/li＞＜li＞Get to grips with API security and its implementation＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is for all the Go developers who are comfortable with the language and seeking to learn REST API development. Even senior engineers can enjoy this book, as it discusses many cutting-edge concepts, such as building microservices, developing API with GraphQL, using protocol buffers, asynchronous API design, and Infrastructure as a Code. Developers who are already familiar with REST concepts and stepping into the Go world from other platforms, such as Python and Ruby, can also benefit a lot.＜/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 Design Patterns with React Native Proven techniques and patterns for efficient native mobile development with JavaScript【電子書籍】[ Mateusz Grzesiukiewicz ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Learn how to write cross platform React Native code by using effective design patterns in the JavaScript world. Get to know industry standard patterns as well as situational patterns. Decouple your application with these set of “Idea patterns”.＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Mobile development in React Native should be done in a reusable way.＜/li＞＜li＞Learn how to build scalable applications using JavaScript patterns that are battle tested.＜/li＞＜li＞Try effective techniques on your own using over 80 standalone examples.＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞React Native helps developers reuse code across different mobile platforms like iOS and Android.＜/p＞＜p＞This book will show you effective design patterns in the React Native world and will make you ready for professional development in big teams.＜/p＞＜p＞The book will focus only on the patterns that are relevant to JavaScript, ECMAScript, React and React Native. However, you can successfully transfer a lot of the skills and techniques to other languages. I call them “Idea patterns”.＜/p＞＜p＞This book will start with the most standard development patterns in React like component building patterns, styling patterns in React Native and then extend these patterns to your mobile application using real world practical examples. Each chapter comes with full, separate source code of applications that you can build and run on your phone.＜/p＞＜p＞The book is also diving into architectural patterns. Especially how to adapt MVC to React environment. You will learn Flux architecture and how Redux is implementing it. Each approach will be presented with its pros and cons. You will learn how to work with external data sources using libraries like Redux thunk and Redux Saga.＜/p＞＜p＞The end goal is the ability to recognize the best solution for a given problem for your next mobile application.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Explore the design Patterns in React Native＜/li＞＜li＞Learn the best practices for React Native development＜/li＞＜li＞Explore common React patterns that are highly used within React Native development＜/li＞＜li＞Learn to decouple components and use dependency injection in your applications＜/li＞＜li＞Explore the best ways of fetching data from the backend systems＜/li＞＜li＞Learn the styling patterns and how to implement custom mobile designs＜/li＞＜li＞Explore the best ways to organize your application code in big codebases＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞The ideal target audience for this book are people eager to learn React Native design patterns who already know the basics of JavaScript. We can assume that the target audience already knows how to write Hello World in JavaScript and know what are the functions, recursive functions, JavaScript types and loops.＜/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 Explainable AI (XAI) with Python Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps【電子書籍】[ Denis Rothman ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Resolve the black box models in your AI applications to make them fair, trustworthy, and secure. Familiarize yourself with the basic principles and tools to deploy Explainable AI (XAI) into your apps and reporting interfaces.＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Learn explainable AI tools and techniques to process trustworthy AI results＜/li＞＜li＞Understand how to detect, handle, and avoid common issues with AI ethics and bias＜/li＞＜li＞Integrate fair AI into popular apps and reporting tools to deliver business value using Python and associated tools＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Effectively translating AI insights to business stakeholders requires careful planning, design, and visualization choices. Describing the problem, the model, and the relationships among variables and their findings are often subtle, surprising, and technically complex.＜/p＞＜p＞Hands-On Explainable AI (XAI) with Python will see you work with specific hands-on machine learning Python projects that are strategically arranged to enhance your grasp on AI results analysis. You will be building models, interpreting results with visualizations, and integrating XAI reporting tools and different applications.＜/p＞＜p＞You will build XAI solutions in Python, TensorFlow 2, Google Cloud's XAI platform, Google Colaboratory, and other frameworks to open up the black box of machine learning models. The book will introduce you to several open-source XAI tools for Python that can be used throughout the machine learning project life cycle.＜/p＞＜p＞You will learn how to explore machine learning model results, review key influencing variables and variable relationships, detect and handle bias and ethics issues, and integrate predictions using Python along with supporting the visualization of machine learning models into user explainable interfaces.＜/p＞＜p＞By the end of this AI book, you will possess an in-depth understanding of the core concepts of XAI.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Plan for XAI through the different stages of the machine learning life cycle＜/li＞＜li＞Estimate the strengths and weaknesses of popular open-source XAI applications＜/li＞＜li＞Examine how to detect and handle bias issues in machine learning data＜/li＞＜li＞Review ethics considerations and tools to address common problems in machine learning data＜/li＞＜li＞Share XAI design and visualization best practices＜/li＞＜li＞Integrate explainable AI results using Python models＜/li＞＜li＞Use XAI toolkits for Python in machine learning life cycles to solve business problems＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is not an introduction to Python programming or machine learning concepts. You must have some foundational knowledge and/or experience with machine learning libraries such as scikit-learn to make the most out of this book.＜/p＞＜p＞Some of the potential readers of this book include:＜/p＞＜ol＞＜li＞Professionals who already use Python for as data science, machine learning, research, and analysis＜/li＞＜li＞Data analysts and data scientists who want an introduction into explainable AI tools and techniques＜/li＞＜li＞AI Project managers who must face the contractual and legal obligations of AI Explainability for the acceptance phase of their applications＜/li＞＜/ol＞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。	4,198円
Practical Julia A Hands-On Introduction for Scientific Minds【電子書籍】[ Lee Phillips ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Learn to use Julia as a tool for research, and solve problems of genuine interestーlike modeling the course of a pandemicーin this practical, hands-on introduction to the language.＜/strong＞＜/p＞＜p＞The Julia programming language is acclaimed in scientific circles for its unparalleled ease, interactivity, and speed. ＜em＞Practical Julia＜/em＞ is a comprehensive introduction to the language, making it accessible even if you’re new to programming.＜/p＞＜p＞Dive in with a thorough guide to Julia’s syntax, data types, and best practices, then transition to craft solutions for challenges in physics, statistics, biology, mathematics, scientific machine learning, and more. Whether you’re solving computational problems, visualizing data, writing simulations, or developing specialized tools, ＜em＞Practical Julia＜/em＞ will show you how.＜/p＞＜p＞As you work through the book, you’ll:＜/p＞＜p＞? Use comprehensions and generators, higher-level functions, array initialization and manipulation, and perform operations on Unicode text＜br /＞ ? Create new syntax and generate code with metaprogramming and macros, and control the error system to manipulate program execution＜br /＞ ? Visualize everything from mathematical constructs and experimental designs to algorithm flowcharts＜br /＞ ? Elevate performance using Julia’s unique type system with multiple dispatch＜br /＞ ? Delve into scientific packages tailored for diverse fields like fluid dynamics, agent-based modeling, and image processing＜/p＞＜p＞Whether your interest is in scientific research, statistics, mathematics, or just the fun of programming with Julia, ＜em＞Practical Julia＜/em＞ will have you writing high-performance code that can do real work in no time.＜/p＞＜p＞Online Resources: Ready-to-run code samples, illustrations, and supplemental animations available at ＜em＞julia.lee-phillips.org＜/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。	5,127円
Hands-On Deep Learning for Games Leverage the power of neural networks and reinforcement learning to build intelligent games【電子書籍】[ Micheal Lanham ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Understand the core concepts of deep learning and deep reinforcement learning by applying them to develop games＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Apply the power of deep learning to complex reasoning tasks by building a Game AI＜/li＞＜li＞Exploit the most recent developments in machine learning and AI for building smart games＜/li＞＜li＞Implement deep learning models and neural networks with Python＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞The number of applications of deep learning and neural networks has multiplied in the last couple of years. Neural nets has enabled significant breakthroughs in everything from computer vision, voice generation, voice recognition and self-driving cars. Game development is also a key area where these techniques are being applied. This book will give an in depth view of the potential of deep learning and neural networks in game development.＜/p＞＜p＞We will take a look at the foundations of multi-layer perceptron's to using convolutional and recurrent networks. In applications from GANs that create music or textures to self-driving cars and chatbots. Then we introduce deep reinforcement learning through the multi-armed bandit problem and other OpenAI Gym environments.＜/p＞＜p＞As we progress through the book we will gain insights about DRL techniques such as Motivated Reinforcement Learning with Curiosity and Curriculum Learning. We also take a closer look at deep reinforcement learning and in particular the Unity ML-Agents toolkit. By the end of the book, we will look at how to apply DRL and the ML-Agents toolkit to enhance, test and automate your games or simulations. Finally, we will cover your possible next steps and possible areas for future learning.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Learn the foundations of neural networks and deep learning.＜/li＞＜li＞Use advanced neural network architectures in applications to create music, textures, self driving cars and chatbots.＜/li＞＜li＞Understand the basics of reinforcement and DRL and how to apply it to solve a variety of problems.＜/li＞＜li＞Working with Unity ML-Agents toolkit and how to install, setup and run the kit.＜/li＞＜li＞Understand core concepts of DRL and the differences between discrete and continuous action environments.＜/li＞＜li＞Use several advanced forms of learning in various scenarios from developing agents to testing games.＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This books is for game developers who wish to create highly interactive games by leveraging the power of machine and deep learning. No prior knowledge of machine learning, deep learning or neural networks is required this book will teach those concepts from scratch. A good understanding of Python 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。	3,290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
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 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
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
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
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 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 Graph Analytics with Neo4j Perform graph processing and visualization techniques using connected data across your enterprise【電子書籍】[ Estelle Scifo ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Discover how to use Neo4j to identify relationships within complex and large graph datasets using graph modeling, graph algorithms, and machine learning＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Get up and running with graph analytics with the help of real-world examples＜/li＞＜li＞Explore various use cases such as fraud detection, graph-based search, and recommendation systems＜/li＞＜li＞Get to grips with the Graph Data Science library with the help of examples, and use Neo4j in the cloud for effective application scaling＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Neo4j is a graph database that includes plugins to run complex graph algorithms.＜/p＞＜p＞The book starts with an introduction to the basics of graph analytics, the Cypher query language, and graph architecture components, and helps you to understand why enterprises have started to adopt graph analytics within their organizations. You'll find out how to implement Neo4j algorithms and techniques and explore various graph analytics methods to reveal complex relationships in your data. You'll be able to implement graph analytics catering to different domains such as fraud detection, graph-based search, recommendation systems, social networking, and data management. You'll also learn how to store data in graph databases and extract valuable insights from it. As you become well-versed with the techniques, you'll discover graph machine learning in order to address simple to complex challenges using Neo4j. You will also understand how to use graph data in a machine learning model in order to make predictions based on your data. Finally, you'll get to grips with structuring a web application for production using Neo4j.＜/p＞＜p＞By the end of this book, you'll not only be able to harness the power of graphs to handle a broad range of problem areas, but you'll also have learned how to use Neo4j efficiently to identify complex relationships in your data.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Become well-versed with Neo4j graph database building blocks, nodes, and relationships＜/li＞＜li＞Discover how to create, update, and delete nodes and relationships using Cypher querying＜/li＞＜li＞Use graphs to improve web search and recommendations＜/li＞＜li＞Understand graph algorithms such as pathfinding, spatial search, centrality, and community detection＜/li＞＜li＞Find out different steps to integrate graphs in a normal machine learning pipeline＜/li＞＜li＞Formulate a link prediction problem in the context of machine learning＜/li＞＜li＞Implement graph embedding algorithms such as DeepWalk, and use them in Neo4j graphs＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is for data analysts, business analysts, graph analysts, and database developers looking to store and process graph data to reveal key data insights. This book will also appeal to data scientists who want to build intelligent graph applications catering to different domains. Some experience with Neo4j 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。	3,858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。	3,858円
Writing Picture Books Revised and Expanded Edition A Hands-On Guide From Story Creation to Publication【電子書籍】[ Ann Whitford Paul ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Master the Art of Writing Enthralling Tales for the Youngest pre-and emerging readers!＜/strong＞＜/p＞＜p＞Fully updated and thoroughly revised, ＜em＞Writing Picture Books Revised and Expanded Edition＜/em＞ is the go-to resource for writers crafting stories for children ages two to eight. You'll learn the unique set of skills it takes to bring your story to life by using tightly focused text and leaving room for the illustrator to be creative.＜/p＞＜p＞Award-winning author Ann Whitford Paul helps you develop the skills you need by walking you through techniques and exercises specifically for picture book writers. You'll find:＜/p＞＜p＞? Instruction on generating ideas, creating characters, point-of-view, beginnings and endings, plotting, word count, rhyme, and more＜br /＞ ? Unique methods for using poetic techniques to enrich your writing＜br /＞ ? Hands-on revision exercises (get out your scissors, tape, and highlighters) to help identify problems and improve your picture book manuscripts＜br /＞ ? Updated tips for researching the changing picture book market, approaching publishers, working with an agent, and developing a platform＜br /＞ ? All new quizzes and examples from picture books throughout＜br /＞ ? New chapters cover issues such as page turns, agents, and self-publishing＜/p＞＜p＞Whether you're just starting out as a picture book writer or have tried unsuccessfully to get your work published, ＜em＞Writing Picture Books Revised and Expanded Edition＜/em＞ is just what you need to craft picture books that will appeal to young children and parents, and agents and editors.＜/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。	1,747円
Web Development with Julia and Genie A hands-on guide to high-performance server-side web development with the Julia programming language【電子書籍】[ Ivo Balbaert ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Get a practical overview of web development in Julia and learn how to build MVC applications with a REST API, and an interactive data dashboard using the Genie web framework＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞A tutorial on web development from Julia expert, Ivo Balbaert and the creator of the Genie framework, Adrian Salceanu＜/li＞＜li＞A step-by-step approach to building a complete web app with the Genie framework＜/li＞＜li＞Develop secure and fast web apps using server-side development on Julia＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Julia's high-performance and scalability characteristics and its extensive number of packages for visualizing data make it an excellent fit for developing web apps, web services, and web dashboards. The two parts of this book provide complete coverage to build your skills in web development.＜/p＞＜p＞First, you'll refresh your knowledge of the main concepts in Julia that will further be used in web development. Then, you'll use Julia's standard web packages and examine how the building blocks of the web such as TCP-IP, web sockets, HTTP protocol, and so on are implemented in Julia's standard library. Each topic is discussed and developed into code that you can apply in new projects, from static websites to dashboards. You'll also understand how to choose the right Julia framework for a project. The second part of the book talks about the Genie framework. You'll learn how to build a traditional to do app following the MVC design pattern. Next, you'll add a REST API to this project, including testing and documentation. Later, you'll explore the various ways of deploying an app in production, including authentication functionality. Finally, you'll work on an interactive data dashboard, making various chart types and filters.＜/p＞＜p＞By the end of this book, you'll be able to build interactive web solutions on a large scale with a Julia-based web framework.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Understand how to make a web server with HTTP.jl and work with JSON data over the web＜/li＞＜li＞Discover how to build a static website with the Franklin framework＜/li＞＜li＞Explore Julia web development frameworks and work with them＜/li＞＜li＞Uncover the Julia infrastructure for development, testing, package management, and deployment＜/li＞＜li＞Develop an MVC web app with the Genie framework＜/li＞＜li＞Understand how to add a REST API to a web app＜/li＞＜li＞Create an interactive data dashboard with charts and filters＜/li＞＜li＞Test, document, and deploy maintainable web applications using Julia＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is for beginner to intermediate-level Julia programmers who want to enhance their skills in designing and developing large-scale web applications. The book helps you adopt Genie without any prior experience with the framework. Julia programming experience and a beginner-level understanding of web development concepts are 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。	3,631円
Infrastructure-as-Code Automation Using Terraform, Packer, Vault, Nomad and Consul Hands-on Deployment, Configuration, and Best Practices【電子書籍】[ Navin Sabharwal ] 楽天Kobo電子書籍ストア	＜p＞Discover the methodologies and best practices for getting started with HashiCorp tools, including Terraform, Vault, and Packer. The book begins with an introduction to the infrastructure-as-code concept while establishing the need for automation and management technologies. You’ll go over hands-on deployment, configuration, and best practices for Terraform, Packer, Vault, Nomad, and Consul. You’ll then delve deeper into developing automation code using Terraform for automating AWS/Azure/GCP public cloud tasks; advanced topics include leveraging Vault for secrets management and Packer for image management.＜/p＞＜p＞Along the way you will also look at Nomad and Consul for managing application orchestration along with network interconnectivity. In each chapter you will cover automated infrastructure and application deployment on the VM/container base ecosystem. The book provides sample code and best-practice guidance for developers and architects to look at infrastructure-as-code adoptionfrom a holistic viewpoint.＜/p＞＜p＞All the code presented in the book is available in the form of scripts, which allow you to try out the examples and extend them in interesting ways.＜/p＞＜p＞＜strong＞What You Will Learn＜/strong＞＜/p＞＜ul＞＜li＞Get an overview of the architecture of Terraform, Vault, Packer, Nomad, and Consul＜/li＞＜li＞Follow hands-on steps for enabling Terraform, Vault, Packer, Nomad, and Consul＜/li＞＜li＞Automate various services on the public cloud, including AWS, Azure, and GCP＜/li＞＜/ul＞＜p＞＜strong＞Who This Book Is For＜/strong＞＜/p＞＜p＞Developers, architects, and administrators who want to learn about infrastructure-as-code automation.＜/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。	6,685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。	3,858円
PyTorch Deep Learning Hands-On Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily【電子書籍】[ Sherin Thomas ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Hands-on projects cover all the key deep learning methods built step-by-step in PyTorch＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Internals and principles of PyTorch＜/li＞＜li＞Implement key deep learning methods in PyTorch: CNNs, GANs, RNNs, reinforcement learning, and more＜/li＞＜li＞Build deep learning workflows and take deep learning models from prototyping to production＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞PyTorch Deep Learning Hands-On is a book for engineers who want a fast-paced guide to doing deep learning work with Pytorch. It is not an academic textbook and does not try to teach deep learning principles. The book will help you most if you want to get your hands dirty and put PyTorch to work quickly.＜/p＞＜p＞PyTorch Deep Learning Hands-On shows how to implement the major deep learning architectures in PyTorch. It covers neural networks, computer vision, CNNs, natural language processing (RNN), GANs, and reinforcement learning. You will also build deep learning workflows with the PyTorch framework, migrate models built in Python to highly efficient TorchScript, and deploy to production using the most sophisticated available tools.＜/p＞＜p＞Each chapter focuses on a different area of deep learning. Chapters start with a refresher on how the model works, before sharing the code you need to implement them in PyTorch.＜/p＞＜p＞This book is ideal if you want to rapidly add PyTorch to your deep learning toolset.＜/p＞＜h4＞What you will learn＜/h4＞＜p＞Use PyTorch to build:＜/p＞＜ul＞＜li＞Simple Neural Networks ? build neural networks the PyTorch way, with high-level functions, optimizers, and more＜/li＞＜li＞Convolutional Neural Networks ? create advanced computer vision systems＜/li＞＜li＞Recurrent Neural Networks ? work with sequential data such as natural language and audio＜/li＞＜li＞Generative Adversarial Networks ? create new content with models including SimpleGAN and CycleGAN＜/li＞＜li＞Reinforcement Learning ? develop systems that can solve complex problems such as driving or game playing＜/li＞＜li＞Deep Learning workflows ? move effectively from ideation to production with proper deep learning workflow using PyTorch and its utility packages＜/li＞＜li＞Production-ready models ? package your models for high-performance production environments＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞Machine learning engineers who want to put PyTorch to work.＜/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
Level 5 Diploma in Leadership for Health and Social Care 2nd Edition【電子書籍】[ Tina Tilmouth ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Reflect on how best practice can be managed in care settings, develop your leadership skills and achieve your career goals with this new edition of Level 5 Diploma in Leadership for Health and Social Care.＜/strong＞＜/p＞＜p＞This new edition of Level 5 Diploma in Leadership for Health and Social Care has been fully updated to reflect the changes to the structure of the qualification. Covering all of the mandatory units in an easy-to-follow and thorough manner, this book is perfect for anyone looking to progress in their management career and for existing care setting managers as an invaluable reference guide.＜/p＞＜p＞-Covers all the information in the qualification thoroughly and in an easy to follow manner with a new and updated design.＜br /＞ -Updated to match the Level 5 qualification's integration into the higher apprenticeship programme including the new 'undertake a research project' unit.＜br /＞ -Encourage learners to think more about the theory aspect of the qualification and how it is applied in the workplace with 'In Practice' features.＜br /＞ -Explore and understand the different methods of assessment and how to prepare using relevant activities.＜/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。	4,699円
Ethics in Participatory Research for Health and Social Well-Being Cases and Commentaries【電子書籍】楽天Kobo電子書籍ストア	＜p＞Participatory research is well-established as an approach involving people with a direct interest in, or experience of, the issue being studied in carrying out research. However, it raises unique and challenging ethical issues. Traditional concerns with respect for the rights to confidentiality, consent, privacy and protection of ‘research informants’ do not translate easily into participatory research. Boundaries between researchers and those researched are often blurred; research trajectories may be emergent and unpredictable; and major ethical issues revolve around partnership, power, equality and respect for diverse knowledges.＜/p＞＜p＞The book introduces the key ethical issues in participatory research, drawing on ethical theory and relevant literature before presenting seven substantive chapters, each on a different theme, such as power, ownership, confidentiality and boundaries. The chapters feature an introductory overview of the topic with reference to the literature, followed by four real-life case examples written by participatory researchers and short commentaries on each case. Drawn from around the world (from Denmark to Tanzania), the cases illustrate a range of ethical issues, outlining how they were handled and the reflections and feelings of the contributors.＜/p＞＜p＞Focusing on developing ethical awareness, confidence and courage to act in ethically challenging situations in everyday research practice, this book is an invaluable resource for all participatory researchers.＜/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。	6,670円
Value-based Marketing Marketing Strategies for Corporate Growth and Shareholder Value【電子書籍】[ Peter Doyle ] 楽天Kobo電子書籍ストア	＜p＞This book provides a clear practical introduction to shareholder value analysis for the marketing professional. It gives them the tools to develop the marketing strategies that will create the most value for business. For top management and CFOs the book explains how marketing generates shareholder value. It shows how top management should evaluate strategies and stimulate more effective and relevant marketing in their companies.＜/p＞＜p＞The original essence of the first edition has been maintained but obvious areas have been updated and revised, as well as, new areas such as technology have been addressed. The second edition of this book has been written by a ghost writer who has fully updated, enhanced and replaced statistics, case studies and other outdated content with the help of a select advisory panel, each of whom has acted as a subject expert, a guide and as part of a steering committee.＜/p＞＜p＞The highly prestigious panels of contributors include:＜/p＞＜p＞Jean-Claude Larr?ch? ? INSEAD＜/p＞＜p＞Veronica Wong ? Aston Business School＜/p＞＜p＞John Quelch ? Harvard Business School＜/p＞＜p＞Susan Hart ? Strathclyde Graduate Business School (SGBS)＜/p＞＜p＞Michael Baker ? Emeritus Professor SGBS＜/p＞＜p＞Tim Ambler ? London Business School＜/p＞＜p＞Tony Cram ? Ashridge＜/p＞＜p＞＜strong＞Table of Contents:＜/strong＞＜/p＞＜p＞PART I＜/p＞＜p＞Principles of Value Creation＜/p＞＜p＞1 Marketing and Shareholder Value＜/p＞＜p＞2 The Shareholder Value Approach＜/p＞＜p＞3 The Marketing Value Driver＜/p＞＜p＞4 The Growth Imperative＜/p＞＜p＞PART II＜/p＞＜p＞Developing High-Value Strategies＜/p＞＜p＞5 Strategic Position Assessment＜/p＞＜p＞6 Value-Based Marketing Strategy＜/p＞＜p＞PART III＜/p＞＜p＞Implementing High-Value Strategies＜/p＞＜p＞7 Building Brands＜/p＞＜p＞8 Pricing for Value＜/p＞＜p＞9 Value-Based Communications＜/p＞＜p＞10 Value-Based Marketing in the Digital Age＜/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。	8,371円
Homemade Hand Sanitizer - Learn How to Make Your Own Natural Hand Sanitizer Recipes for a Healthier Lifestyle【電子書籍】[ Dave Flanagan ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Are hand Sanitizers not readily available to get? Simply make it.＜/strong＞＜/p＞＜p＞This publication will certainly teach you straightforward and very easy means to prepare Homemade Hand Sanitizers.＜/p＞＜p＞The procedure of making hand sanitizer is straight-forward. There are different dishes, ingredients, and formula you can follow to make your own while customizing it to your personal choice.＜/p＞＜p＞Hand Sanitizers are specifically valuable due to the fact that while cleaning of hands with soap is the more effective as well as extremely recommended alternative, there are situations when soap and water are not offered. Hand Sanitizer is the omnipresent, ubiquitous as well as portable alternative that you can rely on for proper hand health.＜/p＞＜p＞You will likewise get to discover the complying with ideas in a step-by-step guide.＜/p＞＜p＞The detailed prep work process＜/p＞＜p＞How to make Sanitizers making use of various formulas＜/p＞＜p＞The different dishes as well as ingredients to utilize＜/p＞＜p＞Tips on Hygiene as well as sanitation＜/p＞＜p＞Personal Hygiene in the house as well as the Work environment＜/p＞＜p＞Security Tips and also Measures＜/p＞＜p＞＜strong＞Get Your Copy Now!＜/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。	350円
A Mind For Numbers How to Excel at Math and Science (Even If You Flunked Algebra)【電子書籍】[ Barbara Oakley PhD ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞The companion book to COURSERA?'s wildly popular massive open online course "Learning How to Learn"＜/strong＞＜/p＞＜p＞Whether you are a student struggling to fulfill a math or science requirement, or you are embarking on a career change that requires a new skill set, ＜em＞A Mind for Numbers＜/em＞ offers the tools you need to get a better grasp of that intimidating material. Engineering professor Barbara Oakley knows firsthand how it feels to struggle with math. She flunked her way through high school math and science courses, before enlisting in the army immediately after graduation. When she saw how her lack of mathematical and technical savvy severely limited her optionsーboth to rise in the military and to explore other careersーshe returned to school with a newfound determination to re-tool her brain to master the very subjects that had given her so much trouble throughout her entire life.＜/p＞＜p＞In ＜em＞A Mind for Numbers＜/em＞, Dr. Oakley lets us in on the secrets to learning effectivelyーsecrets that even dedicated and successful students wish they’d known earlier. Contrary to popular belief, math requires creative, as well as analytical, thinking. Most people think that there’s only one way to do a problem, when in actuality, there are often a number of different solutionsーyou just need the creativity to see them. For example, there are more than three hundred different known proofs of the Pythagorean Theorem. In short, studying a problem in a laser-focused way until you reach a solution is not an effective way to learn. Rather, it involves taking the time to step away from a problem and allow the more relaxed and creative part of the brain to take over. The learning strategies in this book apply not only to math and science, but to any subject in which we struggle. We all have what it takes to excel in areas that don't seem to come naturally to us at first, and learning them does not have to be as painful as we might think.＜/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。	1,872円
Farm Anatomy Activities for Kids Fun, Hands-On Learning【電子書籍】[ Dawn Alexander MS ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Help kids ages 8 to 12 discover how awesome and fun farms can be＜/strong＞＜/p＞＜p＞No matter where you live, you can learn all about the amazing things that happen on farms. ＜em＞Farm Anatomy Activities for Kids＜/em＞ combines the joy of hands-on experiments and activities with easy-to-understand lessons that teach you all about farm life.＜/p＞＜p＞This farm anatomy activity book helps you think more like a farmer and understand how nature, crops, and animals shape the way we live. You'll learn about all the different parts of a farm, the plants and animals you might find there, and how farms create the food you eat and the material for the clothes you wear.＜/p＞＜p＞＜em＞Farm Anatomy Activities for Kids＜/em＞ includes:＜/p＞＜ul＞＜li＞＜strong＞Educational lessons＜/strong＞ーLearn about the various parts of a farm, how they raise plants and animals, and the ways farms connect to your daily life no matter where you live.＜/li＞＜li＞＜strong＞Ways to play＜/strong＞ーTry out cool experiments like growing crops without soil or making a mason bee house.＜/li＞＜li＞＜strong＞Journal prompts＜/strong＞ーReflect on what you've learned about farm anatomy with the thoughtful writing prompts paired with each activity.＜/li＞＜/ul＞＜p＞Take kids on an educational journey down to the farm without ever leaving home.＜/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。	1,069円
Little Learning Labs: Math Games for Kids, abridged edition 25+ Fun, Hands-On Activities for Learning with Shapes, Puzzles, and Games【電子書籍】[ Rebecca Rapoport ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞＜em＞Little Learning Labs: Math Games for Kids＜/em＞ーan abridged paperback edition of ＜em＞Math Games Lab for Kids＜/em＞ーpresents 25+ hands-on activities that include coloring, art, puzzles, and more that make learning about math fun.＜/strong＞＜/p＞＜ul＞＜li＞Explore geometry and topology by building, drawing, and transforming shapes.＜/li＞＜li＞Discover how to color maps like a mathematician by using the fewest colors possible.＜/li＞＜li＞Draw graphs to learn the language of connections.＜/li＞＜li＞Create mind-bending fractals with straight lines and repeat shapes.＜/li＞＜/ul＞＜p＞Everything you need to complete the activities can either be found in the book or around the house.＜/p＞＜p＞The popular ＜strong＞Little Learning Labs series＜/strong＞ (based on the larger format Lab for Kids series) features a growing list of books that share ＜strong＞hands-on activities and projects on a wide host of topics, including art, astronomy, geology, math, and even bugs＜/strong＞ーall authored by established experts in their fields. Each lab contains a ＜strong＞complete materials list＜/strong＞, clear ＜strong＞step-by-step photographs＜/strong＞ of the process, as well as ＜strong＞finished samples＜/strong＞. The activities are open-ended, designed to be explored over and over, often with different results. Geared toward being taught or guided by adults, they are enriching for a range of ages and skill levels. Gain firsthand knowledge on your favorite topic with Little Learning Labs.＜/p＞＜p＞Open ＜em＞Little Learning Labs: Math Games for Kids＜/em＞ and start exploring the exciting world of math!＜/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。	1,388円
Fun and Friendly Calligraphy for Kids A Hands-On Guide to Creative Lettering【電子書籍】[ Virginia Lucas Hart ] 楽天Kobo電子書籍ストア	＜p＞EVERYTHING A BEGINNER CALLIGRAPHER NEEDS TO KNOW TO GET STARTED WITH BEAUTIFUL HANDWRITING.＜/p＞＜p＞The art of calligraphy doesn’t teach you how to write words, but instead, how to draw them. With this book’s fun and playful approach, you will not only improve your handwriting skills, you’ll have an absolute blast while doing so! You’ll learn everything from A to Z, including how to make letterforms, mix inks and develop a unique lettering style.＜/p＞＜p＞Follow the clear and easy instructions with countless helpful tips. Before you know it, you’ll be creating beautiful projects, such as:＜br /＞ ? Wonderful thank-you notes & properly addressed envelopes＜br /＞ ? Flourished tags & cards for special occasions＜br /＞ ? Unique signatures & autographs＜br /＞ ? Personalized gifts & keepsakes＜br /＞ ? Fun logos & monograms＜/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。	1,320円
Food Anatomy Activities for Kids Fun, Hands-On Learning【電子書籍】[ Amber K. Stott ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞A hands-on guide to the world of food science for kids ages 8 to 12＜/strong＞＜/p＞＜p＞The meal on your plate has had many adventures on its way to your belly! Uncover the mysteries of the food you eat with ＜em＞Food Anatomy Activities for Kids＜/em＞, a kids' guide to the incredible history, science, and culture of food. It's packed with easy-to-understand lessons, fun recipes, and engaging experiments to make you feel connected to the food you eatーand make your mouth happy!＜/p＞＜p＞Travel on a food journey around the world, taste new things, and learn fun facts. Find out all about foods that are foraged or farmed, sweet or savory, baked or preservedーand don't forget foods that you drink! Get involved by predicting the answers to questions, testing your ideas, and drawing conclusions just like a real food scientist.＜/p＞＜p＞Inside ＜em＞Food Anatomy Activities for Kids＜/em＞, you'll:＜/p＞＜ul＞＜li＞＜strong＞Follow the life of food＜/strong＞ーDiscover colorfully illustrated lessons on the history and uses of 20 different types of foods.＜/li＞＜li＞＜strong＞Try awesome activities＜/strong＞ーDive into cool experiments like preserving egg yolks with salt, making butter in a mason jar, and growing new fruit from leftover seeds.＜/li＞＜li＞＜strong＞Think like a scientist＜/strong＞ーGrab your own notebook and write down your discoveries with the help of in-depth journal prompts after every activity.＜/li＞＜/ul＞＜p＞Take a trip through the wonderful world of food with ＜em＞Food Anatomy Activities for Kids＜/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。	1,069円
Gentle Hands and Other Sing-Along Songs for Social-Emotional Learning【電子書籍】[ Amadee Ricketts ] 楽天Kobo電子書籍ストア	＜p＞Engage children with familiar songs featuring new, colorful lyrics that teach valuable social-emotional skills.La, la, la! Shake up your story time with these twelve sing-along songs based on classic tunes kids already know and love. This beautifully illustrated songbook teaches important social-emotional skills for everyday life. Favorite songs like “Fr?re Jacques” and “B-I-N-G-O” get turned on their heads with new, easy-to-remember lyrics offering lessons on how to manage anger, asking for help, what to do when you’re afraid, being a good friend, when to use a quiet voice, and many others! Digital content includes downloadable sheet music for all songs.＜/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。	1,562円
Modern Art for Kids Hands-On Art and Craft Activities Inspired by the Masters【電子書籍】[ Stephanie Ho Poon ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Take a fun and engaging illustrated journey through modern art history, from Impressionism to Minimalism, to meet key artists and make crafts inspired by their work.＜/strong＞＜/p＞＜p＞＜em＞Modern Art for Kids＜/em＞, the debut book in the Art Stars series, is a ＜strong＞charmingly illustrated＜/strong＞ hands-on guide packed with fun facts, ＜strong＞amazing stories about the lives of artists＜/strong＞, and ＜strong＞arty-crafty activities＜/strong＞ for interactive learning. Filled with bite-sized summaries, the aim of this book is ＜strong＞to inspire curious kids＜/strong＞ with interesting art topics and expose them to the freedom of creativity and the power of imagination.＜/p＞＜p＞Explore these and more ＜strong＞incredible artists and art movements:＜/strong＞＜/p＞＜ul＞＜li＞Claude Monet (Impressionism) ? Make your own serene Paper Pond Lilies.＜/li＞＜li＞Vincent van Gogh (Post-Impressionism) ? Use expressive swirls to make a Salty Night.＜/li＞＜li＞Sonia Delaunay (Orphism) ? Experiment with bright colors and shapes by making Colorful Lollipops.＜/li＞＜li＞Frida Kahlo (Surrealism) ? Channel the artist and her work by making an upcycled Flower Crown.＜/li＞＜li＞Andy Warhol (Pop Art) ? Set up your own “Factory” and make a Recycled Tray Print.＜/li＞＜/ul＞＜p＞So journey through the ages, let your imagination run wild, and ＜strong＞become an art star!＜/strong＞＜/p＞＜p＞The ＜strong＞Art Stars series＜/strong＞ introduces kids to the story of art through fun illustrated biographies of influential artists paired with simple hands-on activities inspired by their work. For thousands of years, people have been making and enjoying art. From miniature paintings to monumental sculptures, art is a universal language to express beliefs and feelings. Over the course of history, art historians have tried to organize all the different styles and types of art into movements. You don’t need to know anything about art to enjoy it, but learning the fascinating stories of artists and art movements will help you enjoy it even more.＜/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。	2,136円