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| 商品 | 説明 | 価格 |
|---|---|---|
 How Cybersecurity Really Works A Hands-On Guide for Total Beginners【電子書籍】[ Sam Grubb ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞＜em＞Cybersecurity for Beginners＜/em＞ is an engaging introduction to the field of cybersecurity. You'll learn how attackers operate, as well as how to defend yourself and organizations against online attacks.＜/strong＞＜/p＞ ＜p＞You don’t need a technical background to understand core cybersecurity concepts and their practical applications ? all you need is ＜em＞this book＜/em＞. It covers all the important stuff and leaves out the jargon, giving you a broad view of how specific attacks work and common methods used by online adversaries, as well as the controls and strategies you can use to defend against them.＜/p＞ ＜p＞Each chapter tackles a new topic from the ground up, such as malware or social engineering, with easy-to-grasp explanations of the technology at play and relatable, real-world examples. Hands-on exercises then turn the conceptual knowledge you’ve gained into cyber-savvy skills that will make you safer at work and at home. You’ll explore various types of authentication (and how they can be broken), ways to prevent infections from different types of malware, like worms and viruses, and methods for protecting your cloud accounts from adversaries who target web apps.＜/p＞ ＜p＞You’ll also learn how to:＜br /＞ ＜strong＞?＜/strong＞ Use command-line tools to see information about your computer and network＜br /＞ ＜strong＞?＜/strong＞ Analyze email headers to detect phishing attempts＜br /＞ ＜strong＞?＜/strong＞ Open potentially malicious documents in a sandbox to safely see what they do＜br /＞ ＜strong＞?＜/strong＞ Set up your operating system accounts, firewalls, and router to protect your network＜br /＞ ＜strong＞?＜/strong＞ Perform a SQL injection attack by targeting an intentionally vulnerable website＜br /＞ ＜strong＞?＜/strong＞ Encrypt and hash your files＜/p＞ ＜p＞In addition, you’ll get an inside look at the roles and responsibilities of security professionals, see how an attack works from a cybercriminal’s viewpoint, and get first-hand experience implementing sophisticated cybersecurity measures on your own devices.＜/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。 | 4,244円 |
 Hands-On High Performance Programming with Qt 5 Build cross-platform applications using concurrency, parallel programming, and memory management【電子書籍】[ Marek Krajewski ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Build efficient and fast Qt applications, target performance problems, and discover solutions to refine your code＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Build efficient and concurrent applications in Qt to create cross-platform applications＜/li＞ ＜li＞Identify performance bottlenecks and apply the correct algorithm to improve application performance＜/li＞ ＜li＞Delve into parallel programming and memory management to optimize your code＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Achieving efficient code through performance tuning is one of the key challenges faced by many programmers. This book looks at Qt programming from a performance perspective. You'll explore the performance problems encountered when using the Qt framework and means and ways to resolve them and optimize performance.＜/p＞ ＜p＞The book highlights performance improvements and new features released in Qt 5.9, Qt 5.11, and 5.12 (LTE). You'll master general computer performance best practices and tools, which can help you identify the reasons behind low performance, and the most common performance pitfalls experienced when using the Qt framework. In the following chapters, you'll explore multithreading and asynchronous programming with C++ and Qt and learn the importance and efficient use of data structures. You'll also get the opportunity to work through techniques such as memory management and design guidelines, which are essential to improve application performance. Comprehensive sections that cover all these concepts will prepare you for gaining hands-on experience of some of Qt's most exciting application fields - the mobile and embedded development domains.＜/p＞ ＜p＞By the end of this book, you'll be ready to build Qt applications that are more efficient, concurrent, and performance-oriented in nature＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Understand classic performance best practices＜/li＞ ＜li＞Get to grips with modern hardware architecture and its performance impact＜/li＞ ＜li＞Implement tools and procedures used in performance optimization＜/li＞ ＜li＞Grasp Qt-specific work techniques for graphical user interface (GUI) and platform programming＜/li＞ ＜li＞Make Transmission Control Protocol (TCP) and Hypertext Transfer Protocol (HTTP) performant and use the relevant Qt classes＜/li＞ ＜li＞Discover the improvements Qt 5.9 (and the upcoming versions) holds in store＜/li＞ ＜li＞Explore Qt's graphic engine architecture, strengths, and weaknesses＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is designed for Qt developers who wish to build highly performance applications for desktop and embedded devices. Programming Experience with C++ is required.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 4,791円 |
 Hands-On Value-at-Risk and Expected Shortfall A Practical Primer【電子書籍】[ Martin Auer ] 楽天Kobo電子書籍ストア | ＜p＞This book describes a maximally simple market risk model that is still practical and main risk measures like the value-at-risk and the expected shortfall. It outlines the model's (i) underlying math, (ii) daily operation, and (iii) implementation, while stripping away statistical overhead to keep the concepts accessible. The author selects and weighs the various model features, motivating the choices under real-world constraints, and addresses the evermore important handling of regulatory requirements. The book targets not only practitioners new to the field but also experienced market risk operators by suggesting useful data analysis procedures and implementation details. It furthermore addresses market risk consumers such as managers, traders, and compliance officers by making the model behavior intuitively transparent.＜/p＞ ＜p＞＜em＞A very useful guide to the theoretical and practical aspects of implementing and operating a risk-monitoring system for a mid-size financial institution. It sets a common body of knowledge to facilitate communication between risk managers, computer and investment specialists by bridging their diverse backgrounds.＜/em＞＜/p＞ ＜p＞＜strong＞Giovanni Barone-Adesi＜/strong＞ ー Professor, Universit? della Svizzera italiana＜/p＞ ＜p＞＜em＞This unassuming and insightful book starts from the basics and plainly brings the reader up to speed on both theory and implementation.＜/em＞＜/p＞ ＜p＞＜strong＞Shane Hegarty＜/strong＞ ー Director Trade Floor Risk Management, Scotiabank＜/p＞ ＜p＞Visit the book’s website at www.value-at-risk.com.＜/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。 | 6,928円 |
 Python Crash Course, 3rd Edition: A Hands-On, Project-Based Introduction to Programming CheeringCharm 楽天市場店 | カラー：Multicolor◆商品名：Python Crash Course, 3rd Edition: A Hands-On, Project-Based Introduction to ProgrammingPython Crash Course is the world’s bestselling programming book, with over 1,500,000 copies sold to date!Python Crash Course is the world’s best-selling guide to the Python programming language. This fast-paced, thorough introduction will have you writing programs, solving problems, and developing functioning applications in no time.You’ll start by learning basic programming concepts, such as variables, lists, classes, and loops, and practice writing clean code with exercises for each topic. You’ll also learn how to make your programs interactive and test your code safely before adding it to a project. You’ll put your new knowledge into practice by creating a Space Invaders–inspired arcade game, building a set of data visualizations with Python’s handy libraries, and deploying a simple application online.As you work through the book, you’ll learn how to:Use powerful Python libraries and tools, including pytest, Pygame, Matplotlib, Plotly, and Django Make increasingly complex 2D games that respond to keypresses and mouse clicks Generate interactive data visualizations using a variety of datasets Build apps that allow users to create accounts and manage their own data, and deploy your apps online Troubleshoot coding errors and solve common programming problemsNew to this edition: This third edition is completely revised to reflect the latest in Python code. New and updated coverage includes VS Code for text editing, the pathlib module for file handling, pytest for testing your code, as well as the latest features of Matplotlib, Plotly, and Django.If you’ve been thinking about digging into programming, Python Crash Course will provide you with the skills to write real programs fast. Why wait any longer・ Start your engines and code!Covers Python 3.x | 5,756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。 | 4,791円 |
 Hands-On Functional Programming with TypeScript Explore functional and reactive programming to create robust and testable TypeScript applications【電子書籍】[ Remo H. Jansen ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Discover the power of functional programming, lazy evaluation, monads, concurrency, and immutability to create succinct and expressive implementations＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Get a solid understanding of how to apply functional programming concepts in TypeScript＜/li＞ ＜li＞Explore TypeScript runtime features such as event loop, closures, and Prototypes＜/li＞ ＜li＞Gain deeper knowledge on the pros and cons of TypeScript＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Functional programming is a powerful programming paradigm that can help you to write better code. However, learning functional programming can be complicated, and the existing literature is often too complex for beginners. This book is an approachable introduction to functional programming and reactive programming with TypeScript for readers without previous experience in functional programming with JavaScript, TypeScript , or any other programming language.＜/p＞ ＜p＞The book will help you understand the pros, cons, and core principles of functional programming in TypeScript. It will explain higher order functions, referential transparency, functional composition, and monads with the help of effective code examples. Using TypeScript as a functional programming language, you'll also be able to brush up on your knowledge of applying functional programming techniques, including currying, laziness, and immutability, to real-world scenarios.＜/p＞ ＜p＞By the end of this book, you will be confident when it comes to using core functional and reactive programming techniques to help you build effective applications with TypeScript.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Understand the pros and cons of functional programming＜/li＞ ＜li＞Delve into the principles, patterns, and best practices of functional and reactive programming＜/li＞ ＜li＞Use lazy evaluation to improve the performance of applications＜/li＞ ＜li＞Explore functional optics with Ramda＜/li＞ ＜li＞Gain insights into category theory functional data structures such as Functors and Monads＜/li＞ ＜li＞Use functions as values, so that they can be passed as arguments to other functions＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is designed for readers with no prior experience of functional programming with JavaScript, TypeScript or any other programming language. Some familiarity with TypeScript and web development is a must to grasp the concepts in the book easily.＜/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。 | 3,663円 |
 Hands-On Domain-Driven Design with .NET Core Tackling complexity in the heart of software by putting DDD principles into practice【電子書籍】[ Alexey Zimarev ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Solve complex business problems by understanding users better, finding the right problem to solve, and building lean event-driven systems to give your customers what they really want＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Apply DDD principles using modern tools such as EventStorming, Event Sourcing, and CQRS＜/li＞ ＜li＞Learn how DDD applies directly to various architectural styles such as REST, reactive systems, and microservices＜/li＞ ＜li＞Empower teams to work flexibly with improved services and decoupled interactions＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Developers across the world are rapidly adopting DDD principles to deliver powerful results when writing software that deals with complex business requirements. This book will guide you in involving business stakeholders when choosing the software you are planning to build for them. By figuring out the temporal nature of behavior-driven domain models, you will be able to build leaner, more agile, and modular systems.＜/p＞ ＜p＞You'll begin by uncovering domain complexity and learn how to capture the behavioral aspects of the domain language. You will then learn about EventStorming and advance to creating a new project in .NET Core 2.1; you'll also and write some code to transfer your events from sticky notes to C#. The book will show you how to use aggregates to handle commands and produce events. As you progress, you'll get to grips with Bounded Contexts, Context Map, Event Sourcing, and CQRS. After translating domain models into executable C# code, you will create a frontend for your application using Vue.js. In addition to this, you'll learn how to refactor your code and cover event versioning and migration essentials.＜/p＞ ＜p＞By the end of this DDD book, you will have gained the confidence to implement the DDD approach in your organization and be able to explore new techniques that complement what you've learned from the book.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Discover and resolve domain complexity together with business stakeholders＜/li＞ ＜li＞Avoid common pitfalls when creating the domain model＜/li＞ ＜li＞Study the concept of Bounded Context and aggregate＜/li＞ ＜li＞Design and build temporal models based on behavior and not only data＜/li＞ ＜li＞Explore benefits and drawbacks of Event Sourcing＜/li＞ ＜li＞Get acquainted with CQRS and to-the-point read models with projections＜/li＞ ＜li＞Practice building one-way flow UI with Vue.js＜/li＞ ＜li＞Understand how a task-based UI conforms to DDD principles＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is for .NET developers who have an intermediate level understanding of C#, and for those who seek to deliver value, not just write code. Intermediate level of competence in JavaScript will be helpful to follow the UI chapters.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 5,073円 |
 総義歯臨床のHands-on “保険＆自費”どちらにも対応します （開業医のための実践デンチャーシリーズ） [ 松下寛 ] 楽天ブックス | “保険＆自費”どちらにも対応します 開業医のための実践デンチャーシリーズ 松下寛 杉山雅規 デンタルダイヤモンド社BKSCPN_【高額商品】 ソウギシ リンショウ ノ ハンズ オン マツシタ,ヒロシ スギヤマ,マサキ 発行年月：2013年11月 予約締切日：2025年01月31日 ページ数：171p サイズ：単行本 ISBN：9784885102875 松下寛（マツシタヒロシ） 1982年東北大学歯学部卒業。1986年東北大学大学院歯学専攻科修了（歯学臨床系）。東北大学歯学部歯科保存学第一講座（歯内療法学）入局。1988年城南福祉医療協会大田歯科入職。2002年板橋区にて開業。2005年世田谷区にて分院まつした歯科開業。現在、歯学博士。JDA正会員。BPSクリニカルメンバー。昭和大学歯学部口腔解剖学講座講師（兼任）。日本歯内療法学会専門医 杉山雅規（スギヤママサキ） 1988年3月日本大学歯学部付属歯科技工専門学校卒業。1990年9月（株）デンティア入社義歯部配属。2010年3月Ivoclar Vivadent本社研修センター（リヒテンシュタイン）にてBPS研修終了。BPS認定技工士取得。5月社屋移転および取締役就任。2012年8月VITA本社（ドイツ）にてVITAPANを用いたコンプリートデンチャーのセットアップコース受講（本データはこの書籍が刊行された当時に掲載されていたものです） 1 総義歯作製へのアプローチ（どのように研鑽を積んだら、患者が満足する総義歯ができるか／よい義歯、使える義歯の条件とは／総義歯の段階的上達論ーいきなり最上級をめざすな！）／2 「患者＆術者」を救うテクニック（総義歯の咬合ーどのように診査・調整するか／エラーの少ない咬合採得を行うには？／下顎吸着総義歯の概念に基づいた「標準的」な総義歯の形態／既製トレーによる下顎アルジネート印象採得のコツ／義歯の作製は「保険か、自費か」ーその選択と工程）／3 総義歯臨床自費or保険（自費診療／保険診療） 総義歯作りの“手・加減”をマスターすれば保険（のギシ）も自費（のギシ）も自由自在！！ 本 医学・薬学・看護学・歯科学 歯科医学 歯科保存学・歯科補綴学 | 7,920円 |
 Hands-On Azure Digital Twins A practical guide to building distributed IoT solutions【電子書籍】[ Alexander Meijers ] 楽天Kobo電子書籍ストア | ＜p＞＜b＞Build your own digital twin in no time!＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Build and design simple to complex digital twins solutions＜/li＞＜li＞Create end-to-end solutions with Azure Digital Twins＜/li＞＜li＞Integrate the Azure Digital Twins service with other Azure services to provide even richer solutions＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞In today’s world, clients are using more and more IoT sensors to monitor their business processes and assets. Think about collecting information such as pressure in an engine, the temperature, or a light switch being turned on or off in a room. The data collected can be used to create smart solutions for predicting future trends, creating simulations, and drawing insights using visualizations. This makes it beneficial for organizations to make digital twins, which are digital replicas of the real environment, to support these smart solutions. This book will help you understand the concept of digital twins and how it can be implemented using an Azure service called Azure Digital Twins. Starting with the requirements and installation of the Azure Digital Twins service, the book will explain the definition language used for modeling digital twins. From there, you'll go through each step of building digital twins using Azure Digital Twins and learn about the different SDKs and APIs and how to use them with several Azure services. Finally, you'll learn how digital twins can be used in practice with the help of several real-world scenarios. By the end of this book, you'll be confident in building and designing digital twins and integrating them with various Azure services.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Understand the concept and architecture of Azure Digital Twins＜/li＞＜li＞Get to grips with installing and configuring the service and required tools＜/li＞＜li＞Understand the Digital Twin Definition Language (DTDL) and digital twin models＜/li＞＜li＞Explore the APIs and SDKs available to access the Azure Digital Twins services＜/li＞＜li＞Monitor, troubleshoot, and secure digital twins＜/li＞＜li＞Discover how to build, design, and integrate applications with various Azure services＜/li＞＜li＞Explore real-life scenarios with Azure Digital Twins＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for Azure developers, Azure architects, and anyone who wants to learn more about how to implement IoT solutions using Azure Digital Twins and additional Azure services. Prior experience using the Azure Portal and a clear understanding of building applications using .NET 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。 | 4,304円 |
 Arduino Uno: A Hands-On Guide for Beginner【電子書籍】[ Agus Kurniawan ] 楽天Kobo電子書籍ストア | ＜p＞Arduino board is a popular board for embedded development. This book helps you to get started with Arduino Uno development. Several scenario samples are provided to accelerate your learning process. The following is highlight topics:＜/p＞ ＜ul＞ ＜li＞Preparing Development Environment＜/li＞ ＜li＞Setting Up Arduino Uno＜/li＞ ＜li＞Writing and Reading Digital Data＜/li＞ ＜li＞Serial Communication (UART)＜/li＞ ＜li＞PWM and Analog Input＜/li＞ ＜li＞Working with I2C＜/li＞ ＜li＞Working with SPI＜/li＞ ＜li＞Accessing EEPROM＜/li＞ ＜li＞Arduino Networking＜/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。 | 326円 |
 The Highlights Book of How: Discover the Science Behind How the World Works, Hands-On Activities & E HIGHLIGHTS BK OF HOW （Highlights Books of Doing） [ Highlights ] 楽天ブックス | HIGHLIGHTS BK OF HOW Highlights Books of Doing Highlights HIGHLIGHTS PR2022 Hardcover English ISBN：9781644728499 洋書 Books for kids（児童書） Juvenile Nonfiction | 5,940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。 | 4,791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。 | 8,740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 Machine Learning with C++ Build, train, and deploy end-to-end machine learning and deep learning pipelines【電子書籍】[ Kirill Kolodiazhnyi ] 楽天Kobo電子書籍ストア | ＜p＞＜b＞Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib with the help of real-world examples and datasets＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Become familiar with data processing, performance measuring, and model selection using various C++ libraries＜/li＞＜li＞Implement practical machine learning and deep learning techniques to build smart models＜/li＞＜li＞Deploy machine learning models to work on mobile and embedded devices＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞C++ can make your machine learning models run faster and more efficiently. This handy guide will help you learn the fundamentals of machine learning (ML), showing you how to use C++ libraries to get the most out of your data. This book makes machine learning with C++ for beginners easy with its example-based approach, demonstrating how to implement supervised and unsupervised ML algorithms through real-world examples. This book will get you hands-on with tuning and optimizing a model for different use cases, assisting you with model selection and the measurement of performance. You’ll cover techniques such as product recommendations, ensemble learning, and anomaly detection using modern C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib. Next, you’ll explore neural networks and deep learning using examples such as image classification and sentiment analysis, which will help you solve various problems. Later, you’ll learn how to handle production and deployment challenges on mobile and cloud platforms, before discovering how to export and import models using the ONNX format. By the end of this C++ book, you will have real-world machine learning and C++ knowledge, as well as the skills to use C++ to build powerful ML systems.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Explore how to load and preprocess various data types to suitable C++ data structures＜/li＞＜li＞Employ key machine learning algorithms with various C++ libraries＜/li＞＜li＞Understand the grid-search approach to find the best parameters for a machine learning model＜/li＞＜li＞Implement an algorithm for filtering anomalies in user data using Gaussian distribution＜/li＞＜li＞Improve collaborative filtering to deal with dynamic user preferences＜/li＞＜li＞Use C++ libraries and APIs to manage model structures and parameters＜/li＞＜li＞Implement a C++ program to solve image classification tasks with LeNet architecture＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞You will find this C++ machine learning book useful if you want to get started with machine learning algorithms and techniques using the popular C++ language. As well as being a useful first course in machine learning with C++, this book will also appeal to data analysts, data scientists, and machine learning developers who are looking to implement different machine learning models in production using varied datasets and examples. Working knowledge of the C++ programming language is mandatory 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 |
 Animal Healing Hands-On Holistic Techniques【電子書籍】[ Niki J. Senior ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Use Powerful Natural Techniques to Heal and Communicate with Your Animals＜/strong＞＜/p＞ ＜p＞Enhance the health and happiness of your beloved companions with this comprehensive guide to holistic healing and therapy modalities. ＜em＞Animal Healing＜/em＞ demystifies vibrational energy and offers detailed information on how you can sense, establish, and attune your awareness to animal energy. You'll learn to activate wellness on all levels and deepen the unbreakable bond with your animal's heart, mind, and soul.＜/p＞ ＜p＞Providing in-depth descriptions and case studies that illustrate the healing modalities, Niki J. Senior sheds light on the true nature of animal health and disease. Through ground-breaking methods and exercises, she helps you use gemstones, crystals, flower essences, and other natural remedies to effectively heal your animal.＜/p＞ ＜p＞＜strong＞Praise:＜/strong＞＜/p＞ ＜p＞"As a professional vet, I found this book an enlightening approach to holistic animal health and understand how complementary and veterinary methods can work in synergy."ーBernd Wittorf, MRCVS, veterinarian, Freie Universit?t Berlin＜/p＞ ＜p＞"[＜em＞Animal Healing＜/em＞ includes] a combination of anecdotes, success stories, personal battles, science, therapies, how-to instruction, and self-care . . . by the time you have finished, your love for your animal, yourself, and for all of life will have reached new vibrations, new connections, and higher energiesーyou will already be healing your animal before you know it!"ーIsla Fishburn, PhD, founder of Kachina Canine＜/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。 | 2,519円 |
 Security Monitoring with Wazuh A hands-on guide to effective enterprise security using real-life use cases in Wazuh【電子書籍】[ Rajneesh Gupta ] 楽天Kobo電子書籍ストア | ＜p＞＜b＞"This book equips you with the knowledge to effectively deploy and utilize Wazuh, helping your organization stay resilient against evolving cybersecurity threats." ? Santiago Bassett, Founder and CEO, Wazuh＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Written by a cybersecurity expert recognized for his leadership and contributions in the industry＜/li＞＜li＞Gain practical insights on using Wazuh for threat protection and compliance＜/li＞＜li＞Implement security monitoring aligned with MITRE ATT&CK, PCI DSS, and GDPR＜/li＞＜li＞Deploy Wazuh in cloud environments for security and compliance＜/li＞＜li＞Purchase of the print or Kindle book includes a free PDF eBook＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Strengthen your cybersecurity posture with Wazuh’s powerful security monitoring and compliance capabilities. Security Monitoring with Wazuh is a comprehensive, hands-on guide that helps you deploy, configure, and optimize Wazuh to detect threats, automate incident response, and enforce compliance. With real-world use cases, step-by-step configurations, and tool integrations, this book equips you to build an enterprise-grade defense system. You'll begin by setting up an Intrusion Detection System (IDS) using Wazuh and integrating Suricata to monitor network and host-based threats. Moving forward, you'll explore malware detection, vulnerability assessment, and security automation with SOAR. The book also covers threat intelligence, incident response, and proactive threat hunting, helping you detect and mitigate cybersecurity risks effectively. Beyond detection, you'll enforce compliance with industry standards such as MITRE ATT&CK, PCI DSS, and GDPR, ensuring regulatory adherence and security best practices. By integrating Wazuh with TheHive, Cortex, MISP, and other security tools, you'll streamline threat analysis and response. By the end of this book, you'll master Wazuh's full potential, enabling you to deploy, manage, and enhance security monitoring across your infrastructureーfrom on-premises to cloud environments.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Set up an intrusion detection system (IDS) using Wazuh and Suricata＜/li＞＜li＞Implement file integrity monitoring to detect unauthorized changes＜/li＞＜li＞Integrate MISP for automated threat intelligence and IOC detection＜/li＞＜li＞Leverage TheHive and Cortex for security automation and incident response＜/li＞＜li＞Deploy Wazuh for proactive malware detection and endpoint security＜/li＞＜li＞Use Shuffle to automate security operations and streamline responses＜/li＞＜li＞Hunt for threats with Osquery, log analysis, and MITRE ATT&CK mapping＜/li＞＜li＞Ensure compliance with PCI DSS, GDPR, and security best practices＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is designed for SOC analysts, security engineers, and security architects looking to deploy Wazuh for threat detection, incident response, and compliance monitoring. It provides practical guidance on setting up open-source SOC capabilities, including file integrity monitoring, security automation, and threat intelligence. Managed service providers seeking a scalable security monitoring system will also benefit. Basic knowledge of IT, cybersecurity, cloud, and Linux is recommended.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 3,874円 |
 Hands-On Mathematics for Deep Learning Build a solid mathematical foundation for training efficient deep neural networks【電子書籍】[ Jay Dawani ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architectures＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Understand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networks＜/li＞ ＜li＞Learn the mathematical concepts needed to understand how deep learning models function＜/li＞ ＜li＞Use deep learning for solving problems related to vision, image, text, and sequence applications＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Most programmers and data scientists struggle with mathematics, having either overlooked or forgotten core mathematical concepts. This book uses Python libraries to help you understand the math required to build deep learning (DL) models.＜/p＞ ＜p＞You'll begin by learning about core mathematical and modern computational techniques used to design and implement DL algorithms. This book will cover essential topics, such as linear algebra, eigenvalues and eigenvectors, the singular value decomposition concept, and gradient algorithms, to help you understand how to train deep neural networks. Later chapters focus on important neural networks, such as the linear neural network and multilayer perceptrons, with a primary focus on helping you learn how each model works. As you advance, you will delve into the math used for regularization, multi-layered DL, forward propagation, optimization, and backpropagation techniques to understand what it takes to build full-fledged DL models. Finally, you'll explore CNN, recurrent neural network (RNN), and GAN models and their application.＜/p＞ ＜p＞By the end of this book, you'll have built a strong foundation in neural networks and DL mathematical concepts, which will help you to confidently research and build custom models in DL.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Understand the key mathematical concepts for building neural network models＜/li＞ ＜li＞Discover core multivariable calculus concepts＜/li＞ ＜li＞Improve the performance of deep learning models using optimization techniques＜/li＞ ＜li＞Cover optimization algorithms, from basic stochastic gradient descent (SGD) to the advanced Adam optimizer＜/li＞ ＜li＞Understand computational graphs and their importance in DL＜/li＞ ＜li＞Explore the backpropagation algorithm to reduce output error＜/li＞ ＜li＞Cover DL algorithms such as convolutional neural networks (CNNs), sequence models, and generative adversarial networks (GANs)＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is for data scientists, machine learning developers, aspiring deep learning developers, or anyone who wants to understand the foundation of deep learning by learning the math behind it. Working knowledge of the Python programming language and machine learning basics 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。 | 4,085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。 | 1,856円 |
 Hands-on Qt for Python Developers【電子書籍】[ Volodymyr Kirichinets ] 楽天Kobo電子書籍ストア | ＜ol＞ ＜li＞Python, Qt and C++ with examples.＜/li＞ ＜li＞QML and Qt Quick with examples.＜/li＞ ＜li＞PyQt and PySide with examples.＜/li＞ ＜li＞Graphics, Graphical Effects and multimedia.＜/li＞ ＜li＞Working with Databases (SQL, NoSQL).＜/li＞ ＜li＞Signals, slots, and event handlers with examples.＜/li＞ ＜li＞Threading and Multiprocessing in examples of large scale constructions.＜/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。 | 1,161円 |
 Hands-On Geospatial Analysis with R and QGIS A beginner’s guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2【電子書籍】[ Shammunul Islam ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Practical examples with real-world projects in GIS, Remote sensing, Geospatial data management and Analysis using the R programming language＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Understand the basics of R and QGIS to work with GIS and remote sensing data＜/li＞ ＜li＞Learn to manage, manipulate, and analyze spatial data using R and QGIS＜/li＞ ＜li＞Apply machine learning algorithms to geospatial data using R and QGIS＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Managing spatial data has always been challenging and it's getting more complex as the size of data increases. Spatial data is actually big data and you need different tools and techniques to work your way around to model and create different workflows. R and QGIS have powerful features that can make this job easier.＜/p＞ ＜p＞This book is your companion for applying machine learning algorithms on GIS and remote sensing data. You’ll start by gaining an understanding of the nature of spatial data and installing R and QGIS. Then, you’ll learn how to use different R packages to import, export, and visualize data, before doing the same in QGIS. Screenshots are included to ease your understanding.＜/p＞ ＜p＞Moving on, you’ll learn about different aspects of managing and analyzing spatial data, before diving into advanced topics. You’ll create powerful data visualizations using ggplot2, ggmap, raster, and other packages of R. You’ll learn how to use QGIS 3.2.2 to visualize and manage (create, edit, and format) spatial data. Different types of spatial analysis are also covered using R. Finally, you’ll work with landslide data from Bangladesh to create a landslide susceptibility map using different machine learning algorithms.＜/p＞ ＜p＞By reading this book, you’ll transition from being a beginner to an intermediate user of GIS and remote sensing data in no time.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Install R and QGIS＜/li＞ ＜li＞Get familiar with the basics of R programming and QGIS＜/li＞ ＜li＞Visualize quantitative and qualitative data to create maps＜/li＞ ＜li＞Find out the basics of raster data and how to use them in R and QGIS＜/li＞ ＜li＞Perform geoprocessing tasks and automate them using the graphical modeler of QGIS＜/li＞ ＜li＞Apply different machine learning algorithms on satellite data for landslide susceptibility mapping and prediction＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is great for geographers, environmental scientists, statisticians, and every professional who deals with spatial data. If you want to learn how to handle GIS and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful but is not necessary.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 5,638円 |
 Hands-On Design Patterns and Best Practices with Julia Proven solutions to common problems in software design for Julia 1.x【電子書籍】[ Tom Kwong ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Design and develop high-performance, reusable, and maintainable applications using traditional and modern Julia patterns with this comprehensive guide＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Explore useful design patterns along with object-oriented programming in Julia 1.0＜/li＞ ＜li＞Implement macros and metaprogramming techniques to make your code faster, concise, and efficient＜/li＞ ＜li＞Develop the skills necessary to implement design patterns for creating robust and maintainable applications＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Design patterns are fundamental techniques for developing reusable and maintainable code. They provide a set of proven solutions that allow developers to solve problems in software development quickly. This book will demonstrate how to leverage design patterns with real-world applications.＜/p＞ ＜p＞Starting with an overview of design patterns and best practices in application design, you'll learn about some of the most fundamental Julia features such as modules, data types, functions/interfaces, and metaprogramming. You'll then get to grips with the modern Julia design patterns for building large-scale applications with a focus on performance, reusability, robustness, and maintainability. The book also covers anti-patterns and how to avoid common mistakes and pitfalls in development. You'll see how traditional object-oriented patterns can be implemented differently and more effectively in Julia. Finally, you'll explore various use cases and examples, such as how expert Julia developers use design patterns in their open source packages.＜/p＞ ＜p＞By the end of this Julia programming book, you'll have learned methods to improve software design, extensibility, and reusability, and be able to use design patterns efficiently to overcome common challenges in software development.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Master the Julia language features that are key to developing large-scale software applications＜/li＞ ＜li＞Discover design patterns to improve overall application architecture and design＜/li＞ ＜li＞Develop reusable programs that are modular, extendable, performant, and easy to maintain＜/li＞ ＜li＞Weigh up the pros and cons of using different design patterns for use cases＜/li＞ ＜li＞Explore methods for transitioning from object-oriented programming to using equivalent or more advanced Julia techniques＜/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 applications.＜/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 |
 Discovering Great Artists Hands-On Art Experiences in the Styles of Great Masters【電子書籍】[ Kim Solga ] 楽天Kobo電子書籍ストア | ＜p＞＜em＞Discovering Great Artists＜/em＞ is a creative collection of easy art-appreciation activities for children. Kids will find 110 fun and unique projects to experience the styles and techniques of the great masters from the Renaissance to the present. A brief biography of each artist is included with each fully illustrated, child-tested art activity that introduces the featured painting. Artists include painters, sculptors, architects, photographers, and 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。 | 1,921円 |
 Patty Lyons' Knitting Bag of Tricks: The Official Workbook: Hands-On Exercises to Improve Your Knitt PATTY LYONS KNITTING BAG OF TR [ Patty Lyons ] 楽天ブックス | PATTY LYONS KNITTING BAG OF TR Patty Lyons DAVID & CHARLES2024 Spiral English ISBN：9781446313558 洋書 Art & Entertainment（芸術＆エンターテインメント） Crafts & Hobbies | 4,950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 Machine Learning with TensorFlow.js A guide to building ML applications integrated with web technology using the TensorFlow.js library【電子書籍】[ Kai Sasaki ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Get hands-on with the browser-based JavaScript library for training and deploying machine learning models effectively＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Build, train and run machine learning models in the browser using TensorFlow.js＜/li＞ ＜li＞Create smart web applications from scratch with the help of useful examples＜/li＞ ＜li＞Use flexible and intuitive APIs from TensorFlow.js to understand how machine learning algorithms function＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞TensorFlow.js is a framework that enables you to create performant machine learning (ML) applications that run smoothly in a web browser. With this book, you will learn how to use TensorFlow.js to implement various ML models through an example-based approach.＜/p＞ ＜p＞Starting with the basics, you'll understand how ML models can be built on the web. Moving on, you will get to grips with the TensorFlow.js ecosystem to develop applications more efficiently. The book will then guide you through implementing ML techniques and algorithms such as regression, clustering, fast Fourier transform (FFT), and dimensionality reduction. You will later cover the Bellman equation to solve Markov decision process (MDP) problems and understand how it is related to reinforcement learning. Finally, you will explore techniques for deploying ML-based web applications and training models with TensorFlow Core. Throughout this ML book, you'll discover useful tips and tricks that will build on your knowledge.＜/p＞ ＜p＞By the end of this book, you will be equipped with the skills you need to create your own web-based ML applications and fine-tune models to achieve high performance.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Use the t-SNE algorithm in TensorFlow.js to reduce dimensions in an input dataset＜/li＞ ＜li＞Deploy tfjs-converter to convert Keras models and load them into TensorFlow.js＜/li＞ ＜li＞Apply the Bellman equation to solve MDP problems＜/li＞ ＜li＞Use the k-means algorithm in TensorFlow.js to visualize prediction results＜/li＞ ＜li＞Create tf.js packages with Parcel, Webpack, and Rollup to deploy web apps＜/li＞ ＜li＞Implement tf.js backend frameworks to tune and accelerate app performance＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is for web developers who want to learn how to integrate machine learning techniques with web-based applications from scratch. This book will also appeal to data scientists, machine learning practitioners, and deep learning enthusiasts who are looking to perform accelerated, browser-based machine learning on Web using TensorFlow.js. Working knowledge of JavaScript programming language is all you need to get started.＜/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。 | 4,791円 |
 Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow【電子書籍】[ Aur?lien G?ron ] 楽天Kobo電子書籍ストア | ＜p＞Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.＜/p＞ ＜p＞With this updated third edition, author Aur?lien G?ron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started.＜/p＞ ＜ul＞ ＜li＞Use Scikit-learn to track an example ML project end to end＜/li＞ ＜li＞Explore several models, including support vector machines, decision trees, random forests, and ensemble methods＜/li＞ ＜li＞Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection＜/li＞ ＜li＞Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, autoencoders, diffusion models, and transformers＜/li＞ ＜li＞Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning＜/li＞ ＜/ul＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 6,151円 |
 Hands-On AI Trading with Python, QuantConnect, and AWS【電子書籍】[ Jiri Pik ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Master the art of AI-driven algorithmic trading strategies through hands-on examples, in-depth insights, and step-by-step guidance＜/strong＞＜/p＞ ＜p＞＜em＞Hands-On AI Trading with Python, QuantConnect, and AWS＜/em＞ explores real-world applications of AI technologies in algorithmic trading. It provides practical examples with complete code, allowing readers to understand and expand their AI toolbelt.＜/p＞ ＜p＞Unlike other books, this one focuses on designing actual trading strategies rather than setting up backtesting infrastructure. It utilizes QuantConnect, providing access to key market data from Algoseek and others. Examples are available on the book's GitHub repository, written in Python, and include performance tearsheets or research Jupyter notebooks.＜/p＞ ＜p＞The book starts with an overview of financial trading and QuantConnect's platform, organized by AI technology used:＜/p＞ ＜ul＞ ＜li＞Examples include constructing portfolios with regression models, predicting dividend yields, and safeguarding against market volatility using machine learning packages like SKLearn and MLFinLab.＜/li＞ ＜li＞Use principal component analysis to reduce model features, identify pairs for trading, and run statistical arbitrage with packages like LightGBM.＜/li＞ ＜li＞Predict market volatility regimes and allocate funds accordingly.＜/li＞ ＜li＞Predict daily returns of tech stocks using classifiers.＜/li＞ ＜li＞Forecast Forex pairs' future prices using Support Vector Machines and wavelets.＜/li＞ ＜li＞Predict trading day momentum or reversion risk using TensorFlow and temporal CNNs.＜/li＞ ＜li＞Apply large language models (LLMs) for stock research analysis, including prompt engineering and building RAG applications.＜/li＞ ＜li＞Perform sentiment analysis on real-time news feeds and train time-series forecasting models for portfolio optimization.＜/li＞ ＜li＞Better Hedging by Reinforcement Learning and AI: Implement reinforcement learning models for hedging options and derivatives with PyTorch.＜/li＞ ＜li＞AI for Risk Management and Optimization: Use corrective AI and conditional portfolio optimization techniques for risk management and capital allocation.＜/li＞ ＜/ul＞ ＜p＞Written by domain experts, including Jiri Pik, Ernest Chan, Philip Sun, Vivek Singh, and Jared Broad, this book is essential for hedge fund professionals, traders, asset managers, and finance students. Integrate AI into your next algorithmic trading strategy with ＜em＞Hands-On AI Trading with Python, QuantConnect, and AWS＜/em＞.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 5,046円 |
 Hands-On Smart Contract Development with Hyperledger Fabric V2 Building Enterprise Blockchain Applications【電子書籍】[ Matt Zand ] 楽天Kobo電子書籍ストア | ＜p＞Blockchain technology continues to disrupt a wide variety of organizations, from small businesses to the Fortune 500. Today hundreds of blockchain networks are in production, including many built with Hyperledger Fabric. This practical guide shows developers how the latest version of this blockchain infrastructure provides an ideal foundation for developing enterprise blockchain applications or solutions.＜/p＞ ＜p＞Authors Matt Zand, Xun Wu, and Mark Anthony Morris demonstrate how the versatile design of Hyperledger Fabric 2.0 satisfies a broad range of industry use cases. Developers with or without previous Hyperledger experience will discover why no other distributed ledger technology framework enjoys such wide adoption by cloud service providers such as Amazon, Alibaba, IBM, Google, and Oracle.＜/p＞ ＜ul＞ ＜li＞Walk through the architecture and components of Hyperledger Fabric 2.0＜/li＞ ＜li＞Migrate your current Hyperledger Fabric projects to version 2.0＜/li＞ ＜li＞Develop blockchain applications on the Hyperledger platform with Node.js＜/li＞ ＜li＞Deploy and integrate Hyperledger on Amazon Managed Blockchain, IBM Cloud, and Oracle Cloud＜/li＞ ＜li＞Develop blockchain applications with Hyperledger Aries, Avalon, Besu, and Grid＜/li＞ ＜li＞Build end-to-end blockchain supply chain applications with Hyperledger＜/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。 | 5,430円 |