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6585件中 1件 - 30件 1 2 3 4 5 6

商品	説明	価格
Hands-On Data Structures and Algorithms with Rust Learn programming techniques to build effective, maintainable, and readable code in Rust 2018【電子書籍】[ Claus Matzinger ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Design and implement professional level programs by exploring modern data structures and algorithms in Rust.＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Use data structures such as arrays, stacks, trees, lists and graphs with real-world examples＜/li＞＜li＞Learn the functional and reactive implementations of the traditional data structures＜/li＞＜li＞Explore illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner.＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Rust has come a long way and is now utilized in several contexts. Its key strengths are its software infrastructure and resource-constrained applications, including desktop applications, servers, and performance-critical applications, not forgetting its importance in systems' programming. This book will be your guide as it takes you through implementing classic data structures and algorithms in Rust, helping you to get up and running as a confident Rust programmer.＜/p＞＜p＞The book begins with an introduction to Rust data structures and algorithms, while also covering essential language constructs. You will learn how to store data using linked lists, arrays, stacks, and queues. You will also learn how to implement sorting and searching algorithms. You will learn how to attain high performance by implementing algorithms to string data types and implement hash structures in algorithm design. The book will examine algorithm analysis, including Brute Force algorithms, Greedy algorithms, Divide and Conquer algorithms, Dynamic Programming, and Backtracking.＜/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.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Design and implement complex data structures in Rust＜/li＞＜li＞Analyze, implement, and improve searching and sorting algorithms in Rust＜/li＞＜li＞Create and use well-tested and reusable components with Rust＜/li＞＜li＞Understand the basics of multithreaded programming and advanced algorithm design＜/li＞＜li＞Become familiar with application profiling based on benchmarking and testing＜/li＞＜li＞Explore the borrowing complexity of implementing algorithms＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is for developers seeking to use Rust solutions in a practical/professional setting; who wants to learn essential Data Structures and Algorithms in Rust. It is for developers with basic Rust language knowledge, some experience in other programming languages is required.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,012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。	4,428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。	5,119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 Intermediate Econometrics Using R Templates for Learning Quantitative Methods and R Software【電子書籍】[ Hrishikesh D Vinod ] 楽天Kobo電子書籍ストア	＜p＞How to learn both applied statistics (econometrics) and free, open-source software R? This book allows students to have a sense of accomplishment by copying and pasting many hands-on templates provided here.＜/p＞＜p＞The textbook is essential for anyone wishing to have a practical understanding of an extensive range of topics in Econometrics. No other text provides software snippets to learn so many new statistical tools with hands-on examples. The explicit knowledge of inputs and outputs of each new method allows the student to know which algorithm is worth studying. The book offers sufficient theoretical and algorithmic details about a vast range of statistical techniques.＜/p＞＜p＞The second edition's preface lists the following topics generally absent in other textbooks. (i) Iteratively reweighted least squares, (ii) Pillar charts to represent 3D data. (iii) Stochastic frontier analysis (SFA) (iv) model selection with Mallows' Cp criterion. (v) Hodrick-Prescott (HP) filter. (vi) Automatic ARIMA models. (vi) Nonlinear Granger-causality using kernel regressions and bootstrap confidence intervals. (vii) new Keynesian Phillips curve (NKPC). (viii) Market-neutral pairs trading using two cointegrated stocks. (ix) Artificial neural network (ANN) for product-specific forecasting. (x) Vector AR and VARMA models. (xi) New tools for diagnosing the endogeneity problem. (xii) The elegant set-up of k-class estimators and identification. (xiii) Probit-logit models and Heckman selection bias correction. (xiv) Receiver operating characteristic (ROC) curves and areas under them. (xv) Confusion matrix. (xvi) Quantile regression (xvii) Elastic net estimator. (xviii) generalized Correlations (xix) maximum entropy bootstrap for time series. (xx) Convergence concepts quantified. (xxi) Generalized partial correlation coefficients (xxii) Panel data and duration (survival) models.＜/p＞＜p＞＜strong＞Contents:＜/strong＞＜/p＞＜ul＞＜li＞Production Function and Regression Methods Using R＜/li＞＜li＞Univariate Time Series Analysis with R＜/li＞＜li＞Bivariate Time Series Analysis Including Stochastic Diffusion and Cointegration＜/li＞＜li＞Utility Theory and Empirical Implications＜/li＞＜li＞Vector Models for Multivariate Problems＜/li＞＜li＞Simultaneous Equation Models＜/li＞＜li＞Limited Dependent Variable (GLM) Models＜/li＞＜li＞Consumption and Demand: Kernel Regressions and Machine Learning＜/li＞＜li＞Single, Double, and Maximum Entropy Bootstrap and Inference＜/li＞＜li＞Generalized Least Squares, VARMA, and Estimating Functions＜/li＞＜li＞Box?Cox, Loess, Projection Pursuit, Quantile and Threshold Regression＜/li＞＜li＞Miscellany: Dependence, Correlations, Information Entropy, Causality, Panel Data, and Exact Stochastic Dominance＜/li＞＜/ul＞＜p＞＜strong＞Readership:＜/strong＞ Undergraduate and graduate students of economics and econometrics, applied statisticians and finance professionals.＜br /＞＜strong＞Key Features:＜/strong＞＜/p＞＜ul＞＜li＞Uniquely comprehensive coverage, including many very recently developed topics＜/li＞＜li＞Includes software snippets (that help learn the R language) for readers who are not interested in economics examples＜/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。	8,580円
Data Structures and Algorithms in Python (2025) Learn Data Structures & Algorithms (Python) in One Day and Learn It Well. Data Structures & Algorithms for Beginners with Hands-on Project【電子書籍】[ Michael Goodrich ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Unveiling the Essence of Data Structures and Algorithms: Your Path to Software Excellence!＜/strong＞＜/p＞＜p＞Are you ready to unravel the complexity of algorithms with ease? Look no further ? we've crafted the ultimate guide to demystify this intricate topic. Algorithms are the backbone of software programs, orchestrating data structure manipulations. Prepare for an enlightening journey filled with clear examples and hands-on workshops, all within an integrated development environment.＜/p＞＜p＞＜strong＞〓 Mastering Data Structures & Algorithms: The Python Way 〓＜/strong＞＜/p＞＜p＞＜strong＞〓 Bridging the Gap Between Complexity and Comprehension 〓＜/strong＞＜/p＞＜p＞Embark on your software development odyssey with an Introduction to Data Structures and Algorithms Made Easy in Python ? one of the most sought-after programming languages. Harness the extraordinary speed and precision of computers for data storage and processing. Efficient data organization and retrieval, coupled with swift and accurate data processing, form the bedrock of success.＜/p＞＜p＞＜strong＞〓 Highlighting Our Approach 〓＜/strong＞＜/p＞＜p＞＜strong＞〓 Crystal-Clear Data Structures & Algorithms Illustrations 〓＜/strong＞＜/p＞＜p＞Navigate the realm of data structures that dictate data organization and memory storage during program execution. It's important to distinguish persistent storage (like relational tables on disk) from these in-memory structures.＜/p＞＜p＞＜strong＞〓 Advancing with Python and Algorithms 〓＜/strong＞＜/p＞＜p＞Algorithms, those step-by-step guides to data processing, depend on cleverly woven data structures. In this book, we dive deep into these computer science pillars using the power of Python programming.＜/p＞＜p＞＜strong＞〓 Unveiling What Lies Ahead 〓＜/strong＞＜/p＞＜p＞Inside, you'll discover:＜/p＞＜p＞- A comprehensive introduction to the realm of data structures and algorithms.＜br /＞ - Seamless environment setup to ensure a smooth journey.＜br /＞ - Mastery over arrays, lists, and maps.＜br /＞ - Navigating the terrain of dictionaries and hashes.＜br /＞ - Commanding sorting techniques for optimal data arrangement.＜br /＞ - Strategic searching methods to swiftly retrieve information.＜br /＞ - Unleashing the potential of the binary tree structure.＜br /＞ - Designs of algorithms that underpin problem-solving.＜br /＞ - And much, much more, waiting for you to explore!＜/p＞＜p＞＜strong＞〓 Embark on Your Software Mastery Odyssey Today! 〓＜/strong＞＜/p＞＜p＞Are you ready to delve into the intricate world of data structures and algorithms? Your gateway to software excellence awaits ? seize the opportunity now.＜/p＞＜p＞＜strong＞〓 Secure Your Data Structures & Algorithms Copy Today! 〓＜/strong＞＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,884円
Hands-On Unity 2021 Game Development Create, customize, and optimize your own professional games from scratch with Unity 2021, 2nd Edition【電子書籍】[ Nicolas Alejandro Borromeo ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Achieve mesmerizing game experiences using the latest Unity 2021 features by following a practical approach to building professional games＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Unleash the capabilities of C# scripting to create UIs, graphics, game AI agents and more＜/li＞＜li＞Explore Unity's latest tools, including Universal Render Pipeline, Shader Graph, UI Toolkit, Visual Scripting, and VFX graph, to enhance graphics and animation＜/li＞＜li＞Build an AR experience using Unity's AR Foundation＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Learning how to use Unity is the quickest way to creating a full game, but that's not all you can do with this simple, yet comprehensive suite of video game development tools ? Unity is just as useful for creating AR/VR experiences, complex simulations, real-time realistic rendering, films, and practical games for training and education.＜/p＞＜p＞Hands-On Unity 2021 Game Development outlines a practical journey to creating your first full game from the ground up, building it step-by-step and applying your knowledge as you progress.＜/p＞＜p＞Complete with hands-on tutorials and projects, this easy-to-follow guide will teach you how to develop the game using several Unity tools. As you advance, you will learn how to use the Unity engine, create simple scripts using C#, integrate graphics, sound, and animations, and manipulate physics to create interesting mechanics for your game. You'll be able to apply all the knowledge that you gain to a real-world game.＜/p＞＜p＞Later chapters will show you how to code a simple AI agent to challenge the user and use profiling tools to ensure that the code runs efficiently. Finally, you'll work with Unity's AR tools to create AR experiences for 3D apps and games.＜/p＞＜p＞By the end of this Unity book, you will have created a complete game and built a solid foundation in using a wide variety of Unity tools.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Explore both C# and Visual Scripting tools to customize various aspects of a game, such as physics, gameplay, and the UI＜/li＞＜li＞Program rich shaders and effects using Unity's new Shader Graph and Universal Render Pipeline＜/li＞＜li＞Implement postprocessing to improve graphics quality with full-screen effects＜/li＞＜li＞Create rich particle systems for your Unity games from scratch using VFX Graph and Shuriken＜/li＞＜li＞Add animations to your game using the Animator, Cinemachine, and Timeline＜/li＞＜li＞Use the brand new UI Toolkit package to create user interfaces＜/li＞＜li＞Implement game AI to control character behavior＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is best suited for game developers looking to upgrade their knowledge and those who want to migrate their existing skills to the Unity game engine. Those with prior Unity knowledge will also benefit from the chapters exploring the latest features. While you'll still able to follow along if you don't have any programming experience, knowing the fundamentals of C# programming will help you get the most out of this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,704円
Hands-On GPU Programming with Python and CUDA Explore high-performance parallel computing with CUDA【電子書籍】[ Dr. Brian Tuomanen ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Build real-world applications with Python 2.7, CUDA 9, and CUDA 10. We suggest the use of Python 2.7 over Python 3.x, since Python 2.7 has stable support across all the libraries we use in this book.＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Expand your background in GPU programmingーPyCUDA, scikit-cuda, and Nsight＜/li＞＜li＞Effectively use CUDA libraries such as cuBLAS, cuFFT, and cuSolver＜/li＞＜li＞Apply GPU programming to modern data science applications＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Hands-On GPU Programming with Python and CUDA hits the ground running: you’ll start by learning how to apply Amdahl’s Law, use a code profiler to identify bottlenecks in your Python code, and set up an appropriate GPU programming environment. You’ll then see how to “query” the GPU’s features and copy arrays of data to and from the GPU’s own memory.＜/p＞＜p＞As you make your way through the book, you’ll launch code directly onto the GPU and write full blown GPU kernels and device functions in CUDA C. You’ll get to grips with profiling GPU code effectively and fully test and debug your code using Nsight IDE. Next, you’ll explore some of the more well-known NVIDIA libraries, such as cuFFT and cuBLAS.＜/p＞＜p＞With a solid background in place, you will now apply your new-found knowledge to develop your very own GPU-based deep neural network from scratch. You’ll then explore advanced topics, such as warp shuffling, dynamic parallelism, and PTX assembly. In the final chapter, you’ll see some topics and applications related to GPU programming that you may wish to pursue, including AI, graphics, and blockchain.＜/p＞＜p＞By the end of this book, you will be able to apply GPU programming to problems related to data science and high-performance computing.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Launch GPU code directly from Python＜/li＞＜li＞Write effective and efficient GPU kernels and device functions＜/li＞＜li＞Use libraries such as cuFFT, cuBLAS, and cuSolver＜/li＞＜li＞Debug and profile your code with Nsight and Visual Profiler＜/li＞＜li＞Apply GPU programming to datascience problems＜/li＞＜li＞Build a GPU-based deep neuralnetwork from scratch＜/li＞＜li＞Explore advanced GPU hardware features, such as warp shuffling＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞Hands-On GPU Programming with Python and CUDA is for developers and data scientists who want to learn the basics of effective GPU programming to improve performance using Python code. You should have an understanding of first-year college or university-level engineering mathematics and physics, and have some experience with Python as well as in any C-based programming language such as C, C++, Go, or Java.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,981円
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow【電子書籍】[ Aur?lien G?ron ] 楽天Kobo電子書籍ストア	＜p＞Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.＜/p＞＜p＞With this updated third edition, author Aur?lien G?ron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started.＜/p＞＜ul＞＜li＞Use Scikit-learn to track an example ML project end to end＜/li＞＜li＞Explore several models, including support vector machines, decision trees, random forests, and ensemble methods＜/li＞＜li＞Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection＜/li＞＜li＞Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, autoencoders, diffusion models, and transformers＜/li＞＜li＞Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning＜/li＞＜/ul＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	6,151円
Hands-On AI Trading with Python, QuantConnect, and AWS【電子書籍】[ Jiri Pik ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Master the art of AI-driven algorithmic trading strategies through hands-on examples, in-depth insights, and step-by-step guidance＜/strong＞＜/p＞＜p＞＜em＞Hands-On AI Trading with Python, QuantConnect, and AWS＜/em＞ explores real-world applications of AI technologies in algorithmic trading. It provides practical examples with complete code, allowing readers to understand and expand their AI toolbelt.＜/p＞＜p＞Unlike other books, this one focuses on designing actual trading strategies rather than setting up backtesting infrastructure. It utilizes QuantConnect, providing access to key market data from Algoseek and others. Examples are available on the book's GitHub repository, written in Python, and include performance tearsheets or research Jupyter notebooks.＜/p＞＜p＞The book starts with an overview of financial trading and QuantConnect's platform, organized by AI technology used:＜/p＞＜ul＞＜li＞Examples include constructing portfolios with regression models, predicting dividend yields, and safeguarding against market volatility using machine learning packages like SKLearn and MLFinLab.＜/li＞＜li＞Use principal component analysis to reduce model features, identify pairs for trading, and run statistical arbitrage with packages like LightGBM.＜/li＞＜li＞Predict market volatility regimes and allocate funds accordingly.＜/li＞＜li＞Predict daily returns of tech stocks using classifiers.＜/li＞＜li＞Forecast Forex pairs' future prices using Support Vector Machines and wavelets.＜/li＞＜li＞Predict trading day momentum or reversion risk using TensorFlow and temporal CNNs.＜/li＞＜li＞Apply large language models (LLMs) for stock research analysis, including prompt engineering and building RAG applications.＜/li＞＜li＞Perform sentiment analysis on real-time news feeds and train time-series forecasting models for portfolio optimization.＜/li＞＜li＞Better Hedging by Reinforcement Learning and AI: Implement reinforcement learning models for hedging options and derivatives with PyTorch.＜/li＞＜li＞AI for Risk Management and Optimization: Use corrective AI and conditional portfolio optimization techniques for risk management and capital allocation.＜/li＞＜/ul＞＜p＞Written by domain experts, including Jiri Pik, Ernest Chan, Philip Sun, Vivek Singh, and Jared Broad, this book is essential for hedge fund professionals, traders, asset managers, and finance students. Integrate AI into your next algorithmic trading strategy with ＜em＞Hands-On AI Trading with Python, QuantConnect, and AWS＜/em＞.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	5,046円
Learn SQL using MySQL in One Day and Learn It Well SQL for beginners with Hands-on Project【電子書籍】[ Jamie Chan ] 楽天Kobo電子書籍ストア	＜p＞＜b＞Master SQL and unlock the power of database management. From basics to advanced queries, this book guides you through practical exercises to efficiently manage data.＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Step-by-step guidance from basic to advanced SQL techniques＜/li＞＜li＞Comprehensive coverage of MySQL, a leading database management system＜/li＞＜li＞Practical exercises with solutions to reinforce learning＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Learn SQL (using MySQL) in One Day and Learn It Well is the ultimate guide for beginners aiming to grasp the complexities of SQL through hands-on learning. Starting with an introduction to the essence of databases, this book methodically advances through defining and manipulating tables, mastering data insertion, updates, deletions, and executing sophisticated data selection techniques across its comprehensive chapters. It further explores the creation and utility of views, the implementation of triggers to automate database responses, and the intricacies of variables, stored routines, control flow tools, and cursors, culminating in a capstone project that brings all concepts together. Culminating in a project , this book offers a unique opportunity to apply all the learned concepts in a practical, real-world scenario, reinforcing the skills and knowledge acquired throughout the chapters. The appendices provide additional resources including table definitions for practical exercises modeled on real-world scenarios. Embark on a learning journey that transitions you from novice to proficient in managing and querying databases with MySQL, empowering you with the skills to tackle real-world data challenges.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Understand the fundamental concepts and architecture of databases＜/li＞＜li＞Define and design efficient database tables to store data logically＜/li＞＜li＞Utilize advanced selection techniques to manipulate & analyze data＜/li＞＜li＞Create views to simplify complex queries and enhance accessibility＜/li＞＜li＞Implement triggers to automate database operations＜/li＞＜li＞Complete a hands-on project to apply skills in a practical scenario＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is ideal for individuals with no prior experience in SQL or database management. It is perfect for those looking to acquire a strong foundational understanding of SQL using MySQL. Pre-requisites include basic computer literacy and an eagerness to learn data management techniques.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	1,033円
Hands-On Agile Software Development with JIRA Design and manage software projects using the Agile methodology【電子書籍】[ David Harned ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Plan, track, and release great software＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Learn to create reports and dashboard for effective project management＜/li＞＜li＞Implement your development strategy in JIRA.＜/li＞＜li＞Practices to help you manage the issues in the development team＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞As teams scale in size, project management can get very complicated. One of the best tools to deal with this kind of problem is JIRA.＜/p＞＜p＞This book will start by organizing your project requirements and the principles of Agile development to get you started. You will then be introduced to set up a JIRA account and the JIRA ecosystem to help you implement a dashboard for your team's work and issues. You will learn how to manage any issues and bugs that might emerge in the development stage. Going ahead, the book will help you build reports and use them to plan the releases based on the study of the reports. Towards the end, you will come across working with the gathered data and create a dashboard that helps you track the project's development.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Create your first project (and manage existing projects) in JIRA＜/li＞＜li＞Manage your board view and backlogs in JIRA＜/li＞＜li＞Run a Scrum Sprint project in JIRA＜/li＞＜li＞Create reports (including topic-based reports)＜/li＞＜li＞Forecast using versions＜/li＞＜li＞Search for issues with JIRA Query Language (JQL)＜/li＞＜li＞Execute bulk changes to issues＜/li＞＜li＞Create custom filters, dashboards, and widgets＜/li＞＜li＞Create epics, stories, bugs, and tasks＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is for administrators who wants to apply the Agile approach to managing the issues, bugs, and releases in their software development projects using JIRA.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,320円
Hands-On Genetic Algorithms with Python Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems【電子書籍】[ Eyal Wirsansky ] 楽天Kobo電子書籍ストア	＜p＞＜b＞Explore the ever-growing world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine learning models using Python libraries such as DEAP, scikit-learn, and NumPy＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Explore the ins and outs of genetic algorithms with this fast-paced guide＜/li＞＜li＞Implement tasks such as feature selection, search optimization, and cluster analysis using Python＜/li＞＜li＞Solve combinatorial problems, optimize functions, and enhance the performance of artificial intelligence applications＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Genetic algorithms are a family of search, optimization, and learning algorithms inspired by the principles of natural evolution. By imitating the evolutionary process, genetic algorithms can overcome hurdles encountered in traditional search algorithms and provide high-quality solutions for a variety of problems. This book will help you get to grips with a powerful yet simple approach to applying genetic algorithms to a wide range of tasks using Python, covering the latest developments in artificial intelligence. After introducing you to genetic algorithms and their principles of operation, you'll understand how they differ from traditional algorithms and what types of problems they can solve. You'll then discover how they can be applied to search and optimization problems, such as planning, scheduling, gaming, and analytics. As you advance, you'll also learn how to use genetic algorithms to improve your machine learning and deep learning models, solve reinforcement learning tasks, and perform image reconstruction. Finally, you'll cover several related technologies that can open up new possibilities for future applications. By the end of this book, you'll have hands-on experience of applying genetic algorithms in artificial intelligence as well as in numerous other domains.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Understand how to use state-of-the-art Python tools to create genetic algorithm-based applications＜/li＞＜li＞Use genetic algorithms to optimize functions and solve planning and scheduling problems＜/li＞＜li＞Enhance the performance of machine learning models and optimize deep learning network architecture＜/li＞＜li＞Apply genetic algorithms to reinforcement learning tasks using OpenAI Gym＜/li＞＜li＞Explore how images can be reconstructed using a set of semi-transparent shapes＜/li＞＜li＞Discover other bio-inspired techniques, such as genetic programming and particle swarm optimization＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for software developers, data scientists, and AI enthusiasts who want to use genetic algorithms to carry out intelligent tasks in their applications. Working knowledge of Python and basic knowledge of mathematics and computer science will help you get the most out of this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,304円
Hands-on Azure Boards Configuring and Customizing Process Workflows in Azure DevOps Services【電子書籍】[ Chaminda Chandrasekara ] 楽天Kobo電子書籍ストア	＜p＞Understand and explore the features and management of Azure Boards with this book, which also covers Azure Boards configuration and advanced administration. This book starts by setting up projects with Azure DevOps and gives an overview of Azure Boards and its features. You will then learn to set up team projects and how to effectively use Azure Boards to plan and execute work.＜/p＞＜p＞＜em＞Hands-on Azure Boards＜/em＞ explains customizations, where you will understand the available options to track your work considering different scenarios. Next, you will learn visualizing with queries, charts, and dashboards along with reporting of Azure Boards. The author gives you hands-on lessons to set up Azure Boards and shows you how to handle multiple modules that are taken care of by different teams.＜/p＞＜p＞You will also explore the security options in Azure Boards as well as a detailed demonstration of working with the REST API and CLI. Finally,you will work with useful extensions for Azure Boards and see how to use them more effectively and efficiently. After reading this book, you will be able to work with the Azure Boards capabilities available in Azure DevOps on-premise server and services to improve your software delivery process.＜/p＞＜p＞＜strong＞What You Will Learn＜/strong＞＜/p＞＜ul＞＜li＞Plan and manage work with Azure Boards＜/li＞＜li＞Use the REST API and command line interface with Azure Boards＜/li＞＜li＞Extend Azure Boards with useful extensions to enhance its capabilities＜/li＞＜li＞Customize Azure Boards to adapt it to your process＜/li＞＜li＞Report and visualize work progress with Azure Boards＜/li＞＜/ul＞＜p＞＜strong＞Who This Book Is For＜/strong＞＜/p＞＜p＞Anyone working in Azure DevOps developing applications targeting any platform using any language.＜/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。	9,116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
100 Easy STEAM Activities Awesome Hands-On Projects for Aspiring Artists and Engineers【電子書籍】[ Andrea Scalzo Yi ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Exciting Activities for Young Artists, Scientists and Engineers＜/strong＞＜/p＞＜p＞Spark your curiosity with these fun games and creative projects to learn early concepts in Science, Technology, Engineering, Art and Math. These incredible activities from Andrea Scalzo Yi, creator of Raising Dragons, make learning such a blast, you’ll forget you’re doing it!＜/p＞＜p＞Feeling bored on a rainy day? Now you can pick a project, gather your supplies and let the magic happen. Try far-out science experiments like making Shaving Cream Rain Clouds or Lava Lamps. Make math-time snack-time with delicious Cream-Filled Cookie Fractions. Unlock boundless creativity with art projects like Marbled Paper or Monster Bugs. With seasonal activities like the Pool Noodle Obstacle Course and Erupting Pumpkins, there are games to love year-round.＜/p＞＜p＞Have fun learning early ideas in chemistry, physics, computing, color-mixing and so much more, all while problem-solving and working together with friends. With projects that use common household items and require little adult supervision, ＜em＞100 Easy STEAM Activities＜/em＞ is the ultimate resource for an amazing, creative day of learning.＜/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。	1,823円
Hands-On AWS Penetration Testing with Kali Linux Set up a virtual lab and pentest major AWS services, including EC2, S3, Lambda, and CloudFormation【電子書籍】[ Karl Gilbert ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Identify tools and techniques to secure and perform a penetration test on an AWS infrastructure using Kali Linux＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Efficiently perform penetration testing techniques on your public cloud instances＜/li＞＜li＞Learn not only to cover loopholes but also to automate security monitoring and alerting within your cloud-based deployment pipelines＜/li＞＜li＞A step-by-step guide that will help you leverage the most widely used security platform to secure your AWS Cloud environment＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞The cloud is taking over the IT industry. Any organization housing a large amount of data or a large infrastructure has started moving cloud-ward ー and AWS rules the roost when it comes to cloud service providers, with its closest competitor having less than half of its market share. This highlights the importance of security on the cloud, especially on AWS. While a lot has been said (and written) about how cloud environments can be secured, performing external security assessments in the form of pentests on AWS is still seen as a dark art.＜/p＞＜p＞This book aims to help pentesters as well as seasoned system administrators with a hands-on approach to pentesting the various cloud services provided by Amazon through AWS using Kali Linux. To make things easier for novice pentesters, the book focuses on building a practice lab and refining penetration testing with Kali Linux on the cloud. This is helpful not only for beginners but also for pentesters who want to set up a pentesting environment in their private cloud, using Kali Linux to perform a white-box assessment of their own cloud resources. Besides this, there is a lot of in-depth coverage of the large variety of AWS services that are often overlooked during a pentest ー from serverless infrastructure to automated deployment pipelines.＜/p＞＜p＞By the end of this book, you will be able to identify possible vulnerable areas efficiently and secure your AWS cloud environment.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Familiarize yourself with and pentest the most common external-facing AWS services＜/li＞＜li＞Audit your own infrastructure and identify flaws, weaknesses, and loopholes＜/li＞＜li＞Demonstrate the process of lateral and vertical movement through a partially compromised AWS account＜/li＞＜li＞Maintain stealth and persistence within a compromised AWS account＜/li＞＜li＞Master a hands-on approach to pentesting＜/li＞＜li＞Discover a number of automated tools to ease the process of continuously assessing and improving the security stance of an AWS infrastructure＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞If you are a security analyst or a penetration tester and are interested in exploiting Cloud environments to reveal vulnerable areas and secure them, then this book is for you.＜/p＞＜p＞A basic understanding of penetration testing, cloud computing, and its security concepts is mandatory.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,704円
Hands-On Microservices with Spring Boot and Spring Cloud Build and deploy Java microservices using Spring Cloud, Istio, and Kubernetes【電子書籍】[ Magnus Larsson ] 楽天Kobo電子書籍ストア	＜p＞＜b＞Apply microservices patterns to build resilient and scalable distributed systems＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Understand the challenges of building large-scale microservice landscapes＜/li＞＜li＞Build cloud-native production-ready microservices with this comprehensive guide＜/li＞＜li＞Discover how to get the best out of Spring Cloud, Kubernetes, and Istio when used together＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Microservices architecture allows developers to build and maintain applications with ease, and enterprises are rapidly adopting it to build software using Spring Boot as their default framework. With this book, you’ll learn how to efficiently build and deploy microservices using Spring Boot. This microservices book will take you through tried and tested approaches to building distributed systems and implementing microservices architecture in your organization. Starting with a set of simple cooperating microservices developed using Spring Boot, you’ll learn how you can add functionalities such as persistence, make your microservices reactive, and describe their APIs using Swagger/OpenAPI. As you advance, you’ll understand how to add different services from Spring Cloud to your microservice system. The book also demonstrates how to deploy your microservices using Kubernetes and manage them with Istio for improved security and traffic management. Finally, you’ll explore centralized log management using the EFK stack and monitor microservices using Prometheus and Grafana. By the end of this book, you’ll be able to build microservices that are scalable and robust using Spring Boot and Spring Cloud.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Build reactive microservices using Spring Boot＜/li＞＜li＞Develop resilient and scalable microservices using Spring Cloud＜/li＞＜li＞Use OAuth 2.0/OIDC and Spring Security to protect public APIs＜/li＞＜li＞Implement Docker to bridge the gap between development, testing, and production＜/li＞＜li＞Deploy and manage microservices using Kubernetes＜/li＞＜li＞Apply Istio for improved security, observability, and traffic management＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for Java and Spring developers and architects who want to learn how to break up their existing monoliths into microservices and deploy them either on-premises or in the cloud using Kubernetes as a container orchestrator and Istio as a service Mesh. No familiarity with microservices architecture is required to get started with this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	5,166円
Moral Responsibility and the Problem of Many Hands【電子書籍】[ Ibo van de Poel ] 楽天Kobo電子書籍ストア	＜p＞When many people are involved in an activity, it is often difficult, if not impossible, to pinpoint who is morally responsible for what, a phenomenon known as the ‘problem of many hands.’ This term is increasingly used to describe problems with attributing individual responsibility in collective settings in such diverse areas as public administration, corporate management, law and regulation, technological development and innovation, healthcare, and finance. This volume provides an in-depth philosophical analysis of this problem, examining the notion of moral responsibility and distinguishing between different normative meanings of responsibility, both backward-looking (accountability, blameworthiness, and liability) and forward-looking (obligation, virtue). Drawing on the relevant philosophical literature, the authors develop a coherent conceptualization of the problem of many hands, taking into account the relationship, and possible tension, between individual and collective responsibility. This systematic inquiry into the problem of many hands pertains to discussions about moral responsibility in a variety of applied settings.＜/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。	10,255円
Data Analysis with Open Source Tools A Hands-On Guide for Programmers and Data Scientists【電子書籍】[ Philipp K. Janert ] 楽天Kobo電子書籍ストア	＜p＞Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications.＜/p＞＜p＞Along the way, you'll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you'll learn how to think about the results you want to achieve -- rather than rely on tools to think for you.＜/p＞＜ul＞＜li＞Use graphics to describe data with one, two, or dozens of variables＜/li＞＜li＞Develop conceptual models using back-of-the-envelope calculations, as well as scaling and probability arguments＜/li＞＜li＞Mine data with computationally intensive methods such as simulation and clustering＜/li＞＜li＞Make your conclusions understandable through reports, dashboards, and other metrics programs＜/li＞＜li＞Understand financial calculations, including the time-value of money＜/li＞＜li＞Use dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situations＜/li＞＜li＞Become familiar with different open source programming environments for data analysis＜/li＞＜/ul＞＜p＞"Finally, a concise reference for understanding how to conquer piles of data." --Austin King, Senior Web Developer, Mozilla＜/p＞＜p＞"An indispensable text for aspiring data scientists." --Michael E. Driscoll, CEO/Founder, Dataspora＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	2,895円
Works for Piano Four Hands and Two Pianos【電子書籍】[ Wolfgang Amadeus Mozart ] 楽天Kobo電子書籍ストア	＜p＞From his earliest years. Mozart played piano duets with his sister, and as his musical career progressed he created a small repertoire of masterly four-hand piano compositions that are among the most admired and performed in this distinctive genre.＜br /＞ This Dover edition presents six of these choice works, plus two compositions Mozart wrote for two pianos all reprinted from the authoritative Breitkopf & H?rtel edition: Sonatas in D Major (K.381/123a), B-flat Major (K.358/186c), F Major (K.497), G Major (K.497a and 500a), and C Major (K.521) and Theme and Variations in G Major (K.501). Also for 2 pianos: Sonata in D Major (K.448/375a) and Fugue in C Minor (K.426).＜br /＞ Duet enthusiasts will discover in these charming works the sparkling elegance, varied moods, and fluid textures that constitute the very essence of Mozart's musical personality.＜/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。	2,213円
Hands-On RTOS with Microcontrollers Building real-time embedded systems using FreeRTOS, STM32 MCUs, and SEGGER debug tools【電子書籍】[ Brian Amos ] 楽天Kobo電子書籍ストア	＜p＞＜b＞Build reliable real-time embedded systems with FreeRTOS using practical techniques, professional tools, and industry-ready design practices＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Get up and running with the fundamentals of RTOS and apply them on STM32＜/li＞＜li＞Develop FreeRTOS-based applications with real-world timing and task handling＜/li＞＜li＞Use advanced debugging and performance analysis tools to optimize applications＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞A real-time operating system (RTOS) is used to develop systems that respond to events within strict timelines. Real-time embedded systems have applications in various industries, from automotive and aerospace through to laboratory test equipment and consumer electronics. These systems provide consistent and reliable timing and are designed to run without intervention for years. This microcontrollers book starts by introducing you to the concept of RTOS and compares some other alternative methods for achieving real-time performance. Once you've understood the fundamentals, such as tasks, queues, mutexes, and semaphores, you'll learn what to look for when selecting a microcontroller and development environment. By working through examples that use an STM32F7 Nucleo board, the STM32CubeIDE, and SEGGER debug tools, including SEGGER J-Link, Ozone, and SystemView, you'll gain an understanding of preemptive scheduling policies and task communication. The book will then help you develop highly efficient low-level drivers and analyze their real-time performance and CPU utilization. Finally, you'll cover tips for troubleshooting and be able to take your new-found skills to the next level. By the end, you'll have built on your embedded system skills and will be able to create real-time systems using microcontrollers and FreeRTOS.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Understand when to use an RTOS for a project＜/li＞＜li＞Explore RTOS concepts such as tasks, mutexes, semaphores, and queues＜/li＞＜li＞Discover different microcontroller units (MCUs) and choose the best one for your project＜/li＞＜li＞Evaluate and select the best IDE and middleware stack for your project＜/li＞＜li＞Use professional-grade tools for analyzing and debugging your application＜/li＞＜li＞Get FreeRTOS-based applications up and running on an STM32 board＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for embedded engineers, students, or anyone interested in learning the complete RTOS feature set with embedded devices. A basic understanding of the C programming language and embedded systems or microcontrollers will be helpful.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	5,166円
Foster's Complete Hoyle: An Encyclopedia of Games Including all indoor games played to-day. With suggestions for good play, illustrative hands, and all official laws to date【電子書籍】[ R. F. Foster ] 楽天Kobo電子書籍ストア	＜p＞In "Foster's Complete Hoyle: An Encyclopedia of Games," R. F. Foster expertly compiles a comprehensive guide to the vast universe of games, both traditional and contemporary. This meticulously researched work features clear explanations of game rules, strategies, and historical contexts, making it an essential reference for both casual players and dedicated enthusiasts. Foster's engaging prose and organizational clarity reflect a deep understanding of game theory and cultural significance, offering insights into how games have shaped social interactions across centuries. R. F. Foster, an esteemed authority in game theory and a lifelong enthusiast of recreational pastimes, draws on extensive academic and personal experiences in crafting this encyclopedic text. His passion for games, coupled with a scholarly approach, enriches the narrative, illuminating the connections between leisure activities and broader societal trends. Foster's keen observations and captivating storytelling celebrate the psychological and social dynamics inherent in gameplay, making this work as much a historical document as a practical guide. This book is a must-have for anyone intrigued by the mechanics of games or interested in their cultural implications. Whether you are a casual player looking to explore new games, a parent seeking family-friendly options, or a scholar studying social constructs, "Foster's Complete Hoyle" provides both depth and accessibility, making it an invaluable addition to any library.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	300円
Hands-On Unsupervised Learning with Python Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more【電子書籍】[ Giuseppe Bonaccorso ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Discover the skill-sets required to implement various approaches to Machine Learning with Python＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Explore unsupervised learning with clustering, autoencoders, restricted Boltzmann machines, and more＜/li＞＜li＞Build your own neural network models using modern Python libraries＜/li＞＜li＞Practical examples show you how to implement different machine learning and deep learning techniques＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Unsupervised learning is about making use of raw, untagged data and applying learning algorithms to it to help a machine predict its outcome. With this book, you will explore the concept of unsupervised learning to cluster large sets of data and analyze them repeatedly until the desired outcome is found using Python.＜/p＞＜p＞This book starts with the key differences between supervised, unsupervised, and semi-supervised learning. You will be introduced to the best-used libraries and frameworks from the Python ecosystem and address unsupervised learning in both the machine learning and deep learning domains. You will explore various algorithms, techniques that are used to implement unsupervised learning in real-world use cases. You will learn a variety of unsupervised learning approaches, including randomized optimization, clustering, feature selection and transformation, and information theory. You will get hands-on experience with how neural networks can be employed in unsupervised scenarios. You will also explore the steps involved in building and training a GAN in order to process images.＜/p＞＜p＞By the end of this book, you will have learned the art of unsupervised learning for different real-world challenges.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Use cluster algorithms to identify and optimize natural groups of data＜/li＞＜li＞Explore advanced non-linear and hierarchical clustering in action＜/li＞＜li＞Soft label assignments for fuzzy c-means and Gaussian mixture models＜/li＞＜li＞Detect anomalies through density estimation＜/li＞＜li＞Perform principal component analysis using neural network models＜/li＞＜li＞Create unsupervised models using GANs＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is intended for statisticians, data scientists, machine learning developers, and deep learning practitioners who want to build smart applications by implementing key building block unsupervised learning, and master all the new techniques and algorithms offered in machine learning and deep learning using real-world examples. Some prior knowledge of machine learning concepts and statistics is desirable.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,704円
Practical Threat Intelligence and Data-Driven Threat Hunting A hands-on guide to threat hunting with the ATT&CK? Framework and open source tools【電子書籍】[ Valentina Costa-Gazcon ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Get to grips with cyber threat intelligence and data-driven threat hunting while exploring expert tips and techniques＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Set up an environment to centralize all data in an Elasticsearch, Logstash, and Kibana (ELK) server that enables threat hunting＜/li＞＜li＞Carry out atomic hunts to start the threat hunting process and understand the environment＜/li＞＜li＞Perform advanced hunting using MITRE ATT&CK Evals emulations and Mordor datasets＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Threat hunting (TH) provides cybersecurity analysts and enterprises with the opportunity to proactively defend themselves by getting ahead of threats before they can cause major damage to their business.＜/p＞＜p＞This book is not only an introduction for those who don't know much about the cyber threat intelligence (CTI) and TH world, but also a guide for those with more advanced knowledge of other cybersecurity fields who are looking to implement a TH program from scratch.＜/p＞＜p＞You will start by exploring what threat intelligence is and how it can be used to detect and prevent cyber threats. As you progress, you'll learn how to collect data, along with understanding it by developing data models. The book will also show you how to set up an environment for TH using open source tools. Later, you will focus on how to plan a hunt with practical examples, before going on to explore the MITRE ATT&CK framework.＜/p＞＜p＞By the end of this book, you'll have the skills you need to be able to carry out effective hunts in your own environment.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Understand what CTI is, its key concepts, and how it is useful for preventing threats and protecting your organization＜/li＞＜li＞Explore the different stages of the TH process＜/li＞＜li＞Model the data collected and understand how to document the findings＜/li＞＜li＞Simulate threat actor activity in a lab environment＜/li＞＜li＞Use the information collected to detect breaches and validate the results of your queries＜/li＞＜li＞Use documentation and strategies to communicate processes to senior management and the wider business＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞If you are looking to start out in the cyber intelligence and threat hunting domains and want to know more about how to implement a threat hunting division with open-source tools, then this cyber threat intelligence book is for you.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,981円
Foster's Complete Hoyle: An Encyclopedia of Games Enriched edition. Including all indoor games played to-day. With suggestions for good play, illustrative hands, and all official laws to date【電子書籍】[ R. F. Foster ] 楽天Kobo電子書籍ストア	＜p＞In "Foster's Complete Hoyle: An Encyclopedia of Games," R. F. Foster presents an exhaustive examination of games, ranging from traditional card games to contemporary board games. This comprehensive reference work blends meticulous research with an engaging narrative style, reflecting Foster's dedication to elucidating the rules, strategies, and historical contexts of each game. The book is framed within the rich tradition of game literature, drawing inspiration from the legacy of Edmond Hoyle while expanding the scope to include both well-known and obscure games, providing readers with a captivating exploration of leisure and competition across cultures and eras. R. F. Foster, a recognized authority on games as both a scholar and a player, brings a wealth of experience to this encyclopedia. His passion for gaming, coupled with a background in literature and history, informs his approach, allowing Foster to illuminate the intricate narratives and social dynamics behind each game. This intersection of personal interest and academic rigor enables him to present the subject of games not merely as entertainment but as a vital aspect of human interaction and cultural development. For anyone interested in the evolution of games and their role in society, "Foster's Complete Hoyle" is indispensable. It serves as a valuable resource for scholars, casual players, and those seeking to understand the complex interplay between games and culture. Foster's meticulous scholarship and accessible prose make this work an essential addition to any library. In this enriched edition, we have carefully created added value for your reading experience: - Handーpicked Memorable Quotes shine a spotlight on moments of literary brilliance. - Interactive footnotes clarify unusual references, historical allusions, and archaic phrases for an effortless, more informed read.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	300円
Hands-On Unity 2020 Game Development Build, customize, and optimize professional games using Unity 2020 and C#【電子書籍】[ Nicolas Alejandro Borromeo ] 楽天Kobo電子書籍ストア	＜p＞＜b＞Build immersive game experiences using the new Unity 2020 features with this practical guide＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Unleash the capabilities of C\# scripting for creating immersive UI, graphics, Game AI agents and much more＜/li＞＜li＞Explore Unity's latest tools, including Universal Render Pipeline, Shader Graph, and VFX graph, to enhance graphics and animation＜/li＞＜li＞Get started with building augmented reality experience using Unity’s AR Foundation＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Over the years, the Unity game engine has extended its scope from just being about creating video games to building AR/VR experiences, complex simulations, real-time realistic rendering, films, and serious games for training and education. Its features for implementing gameplay, graphics, and customization using C\# programming make Unity a comprehensive platform for developing professional-level, rich experiences. With this book, you'll be able to build impressive Unity projects in a step-by-step manner and apply your knowledge of Unity concepts to create a real-world game. Complete with hands-on tutorials and projects, this easy-to-follow guide will show you how to develop your first complete game using a variety of Unity tools. As you make progress, you'll learn how to make the most of the Unity Editor and create scripts using the C\# programming language. This Unity game development book will then take you through integrating graphics, sound, and animations and manipulating physics to create impressive mechanics for your games. You'll also learn how to code a simple AI agent to challenge the user and use profiling tools to ensure that the code runs in a performant way. Finally, you'll get to grips with Unity's AR Foundation for creating AR experiences for 3D apps and games. By the end of this book, you'll have developed a complete game and will have built a solid foundation using Unity's tooling ecosystem to develop game projects of any scale.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Write scripts for customizing various aspects of a game, such as physics, gameplay, and UI＜/li＞＜li＞Program rich shaders and effects using Unity s new Shader Graph and Universal Render Pipeline＜/li＞＜li＞Implement postprocessing to increase 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＞Implement game artificial intelligence (AI) to control character behavior＜/li＞＜li＞Detect and fix optimization issues using profilers and batching＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for game developers looking to migrate to the Unity game engine. If you are a developer with some exposure to Unity, this book will help you explore its latest features. Prior experience with C\# programming is required to get the most out of the 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。	6,888円
Practical Big Data Analytics Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R【電子書籍】[ Nataraj Dasgupta ] 楽天Kobo電子書籍ストア	＜p＞Get command of your organizational Big Data using the power of data science and analytics About This Book ? A perfect companion to boost your Big Data storing, processing, analyzing skills to help you take informed business decisions ? Work with the best tools such as Apache Hadoop, R, Python, and Spark for NoSQL platforms to perform massive online analyses ? Get expert tips on statistical inference, machine learning, mathematical modeling, and data visualization for Big Data Who This Book Is For The book is intended for existing and aspiring Big Data professionals who wish to become the go-to person in their organization when it comes to Big Data architecture, analytics, and governance. While no prior knowledge of Big Data or related technologies is assumed, it will be helpful to have some programming experience. What You Will Learn ? Get a 360-degree view into the world of Big Data, data science and machine learning ? Broad range of technical and business Big Data analytics topics that caters to the interests of the technical experts as well as corporate IT executives ? Get hands-on experience with industry-standard Big Data and machine learning tools such as Hadoop, Spark, MongoDB, KDB+ and R ? Create production-grade machine learning BI Dashboards using R and R Shiny with step-by-step instructions ? Learn how to combine open-source Big Data, machine learning and BI Tools to create low-cost business analytics applications ? Understand corporate strategies for successful Big Data and data science projects ? Go beyond general-purpose analytics to develop cutting-edge Big Data applications using emerging technologies In Detail Big Data analytics relates to the strategies used by organizations to collect, organize and analyze large amounts of data to uncover valuable business insights that otherwise cannot be analyzed through traditional systems. Crafting an enterprise-scale cost-efficient Big Data and machine learning solution to uncover insights and value from your organization's data is a challenge. Today, with hundreds of new Big Data systems, machine learning packages and BI Tools, selecting the right combination of technologies is an even greater challenge. This book will help you do that. With the help of this guide, you will be able to bridge the gap between the theoretical world of technology with the practical ground reality of building corporate Big Data and data science platforms. You will get hands-on exposure to Hadoop and Spark, build machine learning dashboards using R and R Shiny, create web-based apps using NoSQL databases such as MongoDB and even learn how to write R code for neural networks. By the end of the book, you will have a very clear and concrete understanding of what Big Data analytics means, how it drives revenues for organizations, and how you can develop your own Big Data analytics solution using different tools and methods articulated in this book. Style and approach This book equips you with a knowledge of various NoSQL tools, R, Python programming, cloud platforms, and techniques so you can use them to store, analyze, and deliver meaningful insights from your data.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	5,534円
Hands-On Embedded Programming with Qt Develop high performance applications for embedded systems with C++ and Qt 5【電子書籍】[ John Werner ] 楽天Kobo電子書籍ストア	＜p＞＜b＞A comprehensive guide that will get you up and running with embedded software development using Qt5＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Learn to create fluid, cross-platform applications for embedded devices＜/li＞＜li＞Achieve optimum performance in your applications with the QT Lite Project＜/li＞＜li＞Explore the implementation of Qt with IoT using QtMqtt, QtKNX, and QtWebSockets＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Qt is an open source toolkit suitable for cross-platform and embedded application development. This book uses inductive teaching to help you learn how to create applications for embedded and Internet of Things (IoT) devices with Qt 5. You’ll start by learning to develop your very first application with Qt. Next, you’ll build on the first application by understanding new concepts through hands-on projects and written text. Each project will introduce new features that will help you transform your basic first project into a connected IoT application running on embedded hardware. In addition to gaining practical experience in developing an embedded Qt project, you will also gain valuable insights into best practices for Qt development and explore advanced techniques for testing, debugging, and monitoring the performance of Qt applications. The examples and projects covered throughout the book can be run both locally and on an embedded platform. By the end of this book, you will have the skills you need to use Qt 5 to confidently develop modern embedded applications. ＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Understand how to develop Qt applications using Qt Creator on Linux＜/li＞＜li＞Explore various Qt GUI technologies to build resourceful and interactive applications＜/li＞＜li＞Understand Qt's threading model to maintain a responsive UI＜/li＞＜li＞Get to grips with remote target load and debug using Qt Creator＜/li＞＜li＞Become adept at writing IoT code using Qt＜/li＞＜li＞Learn a variety of software best practices to ensure that your code is efficient＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for software and hardware professionals with experience in different domains who are seeking new career opportunities in embedded systems and IoT. Working knowledge of the C++ Linux command line will be useful to get the most out of this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,734円
Hands-On 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