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商品	説明	価格
アモングアスアモンガスおもちゃ人形 Among Us Action Figure \| One of Four 4.5-Inch-Tall Collectibles \| Among Us Toys and Playable Mini Toys \| Cyan Crewmate in The White Folded Hat with Hidden Hat and Hands 【並行輸入品】 MJ-MARKET	※重さ:　約249 g ※パッケージサイズ:　約42 x 18 x 11 cm ※輸入品です。 ※説明は英語表記になります。 ※海外からの配送の為、納期に遅延が発生する場合がございます。 *Among Us Action Figure \| One of Four 4.5-Inch-Tall Collectibles \| Among Us Toys and Playable Mini Toys \| Cyan Crewmate in The White Folded Hat with Hidden Hat and Hands	9,900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
Python for Beginners. A Smarter Way to Learn Python in 5 Days and Remember it Longer. With Easy Step by Step Guidance and Hands on Examples. (Python Crash Course-Programming for Beginners)【電子書籍】[ Arthur T. Brooks ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Have you always wanted to learn computer programming but thought it was too difficult or would take too long?＜/strong＞＜/p＞＜p＞＜strong＞Do you want to know the secret to learning Python the easy way and start programming today?＜/strong＞＜/p＞＜p＞This book is for you.＜/p＞＜p＞You don't need to waste your time and money learning Python the hard way through tiresome technical books, expensive online courses and difficult Python tutorials.＜/p＞＜p＞This non-technical book will gently guide you through…＜/p＞＜p＞＜strong＞The Python Programming Language.＜/strong＞＜/p＞＜p＞You will learn the most concise methods to get you coding on day one-the smart way.＜/p＞＜p＞＜strong＞Python for Beginners.＜/strong＞＜/p＞＜p＞Beginner friendly hands on examples of practical and usable projects.＜/p＞＜p＞＜strong＞The most useful Python examples.＜/strong＞＜/p＞＜p＞Each example is specifically designed to give you a progressive and thorough understanding of key concepts and all answers are provided.＜/p＞＜p＞＜strong＞Strategic Python topics.＜/strong＞＜/p＞＜p＞The topics are presented in user friendly bite sized chunks to optimize a quick learning style which will also make it easy for you to remember.＜/p＞＜p＞This book is different in that it's primary focus it to teach you Python coding in a simple and concise format and in the quickest time frame possible. Each short chapter has exercises at the end which summarize what you have learned in a progressive manner to avoid overloading you with information.＜/p＞＜p＞Each exercise has been carefully chosen to enable you to master the language and retain what you have learned. No technical skills, previous knowledge or experience is required.＜/p＞＜p＞＜strong＞Download it now＜/strong＞＜/p＞＜p＞You'll also learn:＜/p＞＜p＞Exactly what is Python?＜/p＞＜p＞Which software do you need to code and run Python programs and where to find it?＜/p＞＜p＞What are variables?＜/p＞＜p＞What are strings and methods?＜/p＞＜p＞Using operations with numbers?＜/p＞＜p＞Using operations with lists?＜/p＞＜p＞How to use comments?＜/p＞＜p＞Working with loops?＜/p＞＜p＞Working with IF statements?＜/p＞＜p＞Operations involving dictionaries.＜/p＞＜p＞Operations using defined functions.＜/p＞＜p＞How to work with files?＜/p＞＜p＞How to manage errors and exceptions?＜/p＞＜p＞＜strong＞And more!＜/strong＞＜/p＞＜p＞Finally, you will be gently guided on how to put everything that you have learned together so that you can immediately start your own Python coding in your chosen real-world scenarios.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	450円
Hands-On Domain-Driven Design with .NET Core Tackling complexity in the heart of software by putting DDD principles into practice【電子書籍】[ Alexey Zimarev ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Solve complex business problems by understanding users better, finding the right problem to solve, and building lean event-driven systems to give your customers what they really want＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Apply DDD principles using modern tools such as EventStorming, Event Sourcing, and CQRS＜/li＞＜li＞Learn how DDD applies directly to various architectural styles such as REST, reactive systems, and microservices＜/li＞＜li＞Empower teams to work flexibly with improved services and decoupled interactions＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Developers across the world are rapidly adopting DDD principles to deliver powerful results when writing software that deals with complex business requirements. This book will guide you in involving business stakeholders when choosing the software you are planning to build for them. By figuring out the temporal nature of behavior-driven domain models, you will be able to build leaner, more agile, and modular systems.＜/p＞＜p＞You'll begin by uncovering domain complexity and learn how to capture the behavioral aspects of the domain language. You will then learn about EventStorming and advance to creating a new project in .NET Core 2.1; you'll also and write some code to transfer your events from sticky notes to C#. The book will show you how to use aggregates to handle commands and produce events. As you progress, you'll get to grips with Bounded Contexts, Context Map, Event Sourcing, and CQRS. After translating domain models into executable C# code, you will create a frontend for your application using Vue.js. In addition to this, you'll learn how to refactor your code and cover event versioning and migration essentials.＜/p＞＜p＞By the end of this DDD book, you will have gained the confidence to implement the DDD approach in your organization and be able to explore new techniques that complement what you've learned from the book.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Discover and resolve domain complexity together with business stakeholders＜/li＞＜li＞Avoid common pitfalls when creating the domain model＜/li＞＜li＞Study the concept of Bounded Context and aggregate＜/li＞＜li＞Design and build temporal models based on behavior and not only data＜/li＞＜li＞Explore benefits and drawbacks of Event Sourcing＜/li＞＜li＞Get acquainted with CQRS and to-the-point read models with projections＜/li＞＜li＞Practice building one-way flow UI with Vue.js＜/li＞＜li＞Understand how a task-based UI conforms to DDD principles＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is for .NET developers who have an intermediate level understanding of C#, and for those who seek to deliver value, not just write code. Intermediate level of competence in JavaScript will be helpful to follow the UI chapters.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,085円
Buy Data Structures and Algorithms in Python (2024) Learn Data Structures & Algorithms (Python) in One Day and Learn It Well. Data Structures & Algorithms for Beginners with Hands-on Project【電子書籍】[ DS Publishing ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Unveiling the Essence of Data Structures and Algorithms: Your Path to Software Excellence!＜/strong＞＜/p＞＜p＞Are you ready to unravel the complexity of algorithms with ease? Look no further ? we've crafted the ultimate guide to demystify this intricate topic. Algorithms are the backbone of software programs, orchestrating data structure manipulations. Prepare for an enlightening journey filled with clear examples and hands-on workshops, all within an integrated development environment.＜/p＞＜p＞＜strong＞〓 Mastering Data Structures & Algorithms: The Python Way 〓＜/strong＞＜/p＞＜p＞＜strong＞〓 Bridging the Gap Between Complexity and Comprehension 〓＜/strong＞＜/p＞＜p＞Embark on your software development odyssey with an Introduction to Data Structures and Algorithms Made Easy in Python ? one of the most sought-after programming languages. Harness the extraordinary speed and precision of computers for data storage and processing. Efficient data organization and retrieval, coupled with swift and accurate data processing, form the bedrock of success.＜/p＞＜p＞＜strong＞〓 Highlighting Our Approach 〓＜/strong＞＜/p＞＜p＞＜strong＞〓 Crystal-Clear Data Structures & Algorithms Illustrations 〓＜/strong＞＜/p＞＜p＞Navigate the realm of data structures that dictate data organization and memory storage during program execution. It's important to distinguish persistent storage (like relational tables on disk) from these in-memory structures.＜/p＞＜p＞＜strong＞〓 Advancing with Python and Algorithms 〓＜/strong＞＜/p＞＜p＞Algorithms, those step-by-step guides to data processing, depend on cleverly woven data structures. In this book, we dive deep into these computer science pillars using the power of Python programming.＜/p＞＜p＞＜strong＞〓 Unveiling What Lies Ahead 〓＜/strong＞＜/p＞＜p＞Inside, you'll discover:＜/p＞＜p＞- A comprehensive introduction to the realm of data structures and algorithms.＜br /＞ - Seamless environment setup to ensure a smooth journey.＜br /＞ - Mastery over arrays, lists, and maps.＜br /＞ - Navigating the terrain of dictionaries and hashes.＜br /＞ - Commanding sorting techniques for optimal data arrangement.＜br /＞ - Strategic searching methods to swiftly retrieve information.＜br /＞ - Unleashing the potential of the binary tree structure.＜br /＞ - Designs of algorithms that underpin problem-solving.＜br /＞ - And much, much more, waiting for you to explore!＜/p＞＜p＞＜strong＞〓 Embark on Your Software Mastery Odyssey Today! 〓＜/strong＞＜/p＞＜p＞Are you ready to delve into the intricate world of data structures and algorithms? Your gateway to software excellence awaits ? seize the opportunity now.＜/p＞＜p＞＜strong＞〓 Secure Your Data Structures & Algorithms Copy Today! 〓＜/strong＞＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,006円
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。	3,290円
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。	3,290円
Python For Beginners.Learn Data Science in 5 Days the Smart Way and Remember it Longer. With Easy Step by Step Guidance & Hands on Examples. (Python Crash Course-Programming for Beginners) Python for Beginners【電子書籍】[ Arthur T. Brooks ] 楽天Kobo電子書籍ストア	＜p＞Have you always wanted to learn computer programming but thought it was too difficult or would take too long?＜/p＞＜p＞Do you want to know the ＜strong＞secret＜/strong＞ to learning Python Data Science the ＜strong＞easy way＜/strong＞ and start programming ＜strong＞today＜/strong＞?＜/p＞＜p＞＜strong＞This book is for you.＜/strong＞＜/p＞＜p＞You don't need to waste your time and money learning Python the hard way through tiresome technical books, expensive online courses and difficult Python tutorials.＜/p＞＜p＞This non-technical book will gently guide you through…＜/p＞＜p＞＜strong＞The Python Data Science Language.＜/strong＞＜/p＞＜p＞You will learn the most concise methods to get you coding on day one-the smart way.＜/p＞＜p＞＜strong＞Python for Beginners.＜/strong＞＜/p＞＜p＞Beginner friendly hands on examples of practical and usable projects.＜/p＞＜p＞＜strong＞The most useful Python examples.＜/strong＞＜/p＞＜p＞Each example is specifically designed to give you a progressive and thorough understanding of key concepts and all answers are provided.＜/p＞＜p＞＜strong＞Strategic Python Data Science topics.＜/strong＞＜/p＞＜p＞The topics are presented in user friendly bite sized chunks to optimize a quick learning style which will also make it easy for you to remember.＜/p＞＜p＞This book is different in that it's primary focus it to teach you Python Data Science in a ＜strong＞simple＜/strong＞ and ＜strong＞concise＜/strong＞ format and in the ＜strong＞quickest＜/strong＞ time frame possible. Each short chapter has exercises at the end which summarize what you have learned in a progressive manner to avoid overloading you with information. Each exercise has been carefully chosen to enable you to master the language and retain what you have learned. No technical skills, previous knowledge or experience is required.＜/p＞＜p＞＜em＞Download it now buy clicking the ＜strong＞BUY＜/strong＞ button.＜/em＞＜/p＞＜p＞You'll also learn:＜/p＞＜ul＞＜li＞Exactly what is IPython?＜/li＞＜li＞What are the IPython keyboard shortcuts?＜/li＞＜li＞What are the IPython magic commands?＜/li＞＜li＞What is Numpy and how can I use it?＜/li＞＜li＞Numpy array attributes?＜/li＞＜li＞Advanced Ufunc Features?＜/li＞＜li＞Working with Boolean Arrays?＜/li＞＜li＞Boolean Operators?＜/li＞＜li＞Data Manipulation with Pandas?＜/li＞＜li＞Constructing Data Frame objects?＜/li＞＜li＞Data Selection in DataFrame?＜/li＞＜li＞Handling Missing Data?＜/li＞＜li＞Operations with Matplotlib?＜/li＞＜/ul＞＜p＞And more!＜/p＞＜p＞Finally, you will be gently guided on how to put everything that you have learned together so that you can immediately start your own Python coding in your chosen real-world scenarios.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	450円
送料無料スケッチャーズ SKECHERS レディース女性用シューズ靴スニーカー運動靴 Breathe Easy - Roll With Me Hands Free Slip-Ins - Taupe グッズ×グッズ	こちらの商品はスケッチャーズ SKECHERS レディース女性用シューズ靴スニーカー運動靴 Breathe Easy - Roll With Me Hands Free Slip-Ins - Taupe です。注文後のサイズ変更・キャンセルは出来ませんので、十分なご検討の上でのご注文をお願いいたします。 ※靴など、オリジナルの箱が無い場合がございます。ご確認が必要な場合にはご購入前にお問い合せください。 ※画面の表示と実物では多少色具合が異なって見える場合もございます。 ※アメリカ商品の為、稀にスクラッチなどがある場合がございます。使用に問題のない程度のものは不良品とは扱いませんのでご了承下さい。 ━ カタログ（英語）より抜粋 ━ Your feet would stop complaining while wearing the comfortable SKECHERS(R) Breathe Easy - Roll With Me Hands Free Slip-Ins. Knit mesh upper with quarter webbing overlays. Lightweight design. Skechers Air-Cooled Memory Foam(R) cushioned insoles. Synthetic outsole for a steady grip. Textile lining and insole. Machine washable. ※掲載の寸法や重さはサイズ「9, width B - Medium」を計測したものです. サイズにより異なりますので、あくまで参考値として参照ください. 実寸（参考値）： Weight: 約 230 g ■サイズの幅(オプション)について Slim < Narrow < Medium < Wide < Extra Wide S < N < M < W A < B < C < D < E < EE(2E) < EEE(3E) ※足幅は左に行くほど狭く、右に行くほど広くなります ※標準はMedium、M、D(またはC)となります ※メーカー毎に表記が異なる場合もございます	22,572円
A - Black Vacuum Sealer, FRESKO Upgraded Fully Automatic Vacuum Sealer, Hands-Free Food Vacuum Sealer without Flipping the Lid, Easy-to-Use Touch Operation with Visual Progress Bar, ETL Certified Glomarket	* We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 * 特に注意してください。 * ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 * ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。・当店でご購入された商品は、原則として、「個人輸入」としての取り扱いになり、すべてニュージャージからお客様のもとへ直送されます。・ご注文後、30営業日以内(通常2~3週間)に配送手続きをいたします。配送作業完了後、2週間程度でのお届けとなります。・まれに商品入荷状況や国際情勢、運送、通関事情により、お届けが2ヶ月までかかる場合がありますのでお急ぎの場合は注文をお控えください。・個人輸入される商品は、すべてご注文者自身の「個人使用・個人消費」が前提となりますので、ご注文された商品を第三者へ譲渡・転売することは法律で禁止されております。・関税・消費税が課税される場合があります。詳細はこちらをご確認下さい。PC販売説明文	9,584円
OPI Infinite Shine（インフィニットシャイン）ISLMI07　Suzi Talks With Her Hands　15mL ルミナ	OPI Infinite Shine（インフィニットシャイン） OPIから全くの新商品。 LEDまたはUVを使用しないジェルのようなポリッシュ。たった3ステップ（プライマー⇒カラー⇒グロス）で完成。リムーバーで除去。強烈な輝き、ジェルのような持続性を実現。 ※こちらの商品は代引不可、配送方法はヤマト運輸ネコポスとさせていただきます。日時、時間指定はできません。 ※海外からの輸入商品の為、国内で販売されている商品・パッケージ・色味などが多少異なる場合がございます。また商品の入荷時期により掲載画像とお手元に届く商品のパッケージなどが異なる場合もございますが、ご使用には問題ございませんので予めご了承下さい。	1,760円
Practical Threat Intelligence and Data-Driven Threat Hunting A hands-on guide to threat hunting with the ATT&CK? Framework and open source tools【電子書籍】[ Valentina Costa-Gazcon ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Get to grips with cyber threat intelligence and data-driven threat hunting while exploring expert tips and techniques＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Set up an environment to centralize all data in an Elasticsearch, Logstash, and Kibana (ELK) server that enables threat hunting＜/li＞＜li＞Carry out atomic hunts to start the threat hunting process and understand the environment＜/li＞＜li＞Perform advanced hunting using MITRE ATT&CK Evals emulations and Mordor datasets＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Threat hunting (TH) provides cybersecurity analysts and enterprises with the opportunity to proactively defend themselves by getting ahead of threats before they can cause major damage to their business.＜/p＞＜p＞This book is not only an introduction for those who don't know much about the cyber threat intelligence (CTI) and TH world, but also a guide for those with more advanced knowledge of other cybersecurity fields who are looking to implement a TH program from scratch.＜/p＞＜p＞You will start by exploring what threat intelligence is and how it can be used to detect and prevent cyber threats. As you progress, you'll learn how to collect data, along with understanding it by developing data models. The book will also show you how to set up an environment for TH using open source tools. Later, you will focus on how to plan a hunt with practical examples, before going on to explore the MITRE ATT&CK framework.＜/p＞＜p＞By the end of this book, you'll have the skills you need to be able to carry out effective hunts in your own environment.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Understand what CTI is, its key concepts, and how it is useful for preventing threats and protecting your organization＜/li＞＜li＞Explore the different stages of the TH process＜/li＞＜li＞Model the data collected and understand how to document the findings＜/li＞＜li＞Simulate threat actor activity in a lab environment＜/li＞＜li＞Use the information collected to detect breaches and validate the results of your queries＜/li＞＜li＞Use documentation and strategies to communicate processes to senior management and the wider business＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞If you are looking to start out in the cyber intelligence and threat hunting domains and want to know more about how to implement a threat hunting division with open-source tools, then this cyber threat intelligence book is for you.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,085円
Foster's Complete Hoyle: An Encyclopedia of Games Including all indoor games played to-day. With suggestions for good play, illustrative hands, and all official laws to date【電子書籍】[ R. F. Foster ] 楽天Kobo電子書籍ストア	＜p＞R.F. Foster's 'Foster's Complete Hoyle: An Encyclopedia of Games' is a comprehensive guide to a wide array of traditional and modern games. Divided into chapters based on game categories, Foster meticulously details the rules, strategies, and histories behind each game, providing a valuable resource for both novice and experienced players. The book's straightforward and informative writing style makes it accessible to a broad audience, while its thoroughness and attention to detail make it a must-have for serious game enthusiasts. 'Foster's Complete Hoyle' stands out as a timeless reference book in the world of gaming literature, making it a versatile and invaluable addition to any game lover's collection. R.F. Foster, a renowned historian and scholar, brings his passion for games and extensive research to 'Foster's Complete Hoyle.' Foster's background in academia and his expertise in Irish history likely informed his approach to compiling this encyclopedia, showcasing his dedication to preserving and disseminating knowledge about games across cultures and time periods. I highly recommend 'Foster's Complete Hoyle: An Encyclopedia of Games' to anyone interested in expanding their knowledge of traditional and modern games. Whether you are a casual player looking to learn new games or a seasoned gamer seeking in-depth insights, this book is sure to captivate and educate you with its rich content and engaging writing style.＜/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。	310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 Unsupervised Learning with Python Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more【電子書籍】[ Giuseppe Bonaccorso ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Discover the skill-sets required to implement various approaches to Machine Learning with Python＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Explore unsupervised learning with clustering, autoencoders, restricted Boltzmann machines, and more＜/li＞＜li＞Build your own neural network models using modern Python libraries＜/li＞＜li＞Practical examples show you how to implement different machine learning and deep learning techniques＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Unsupervised learning is about making use of raw, untagged data and applying learning algorithms to it to help a machine predict its outcome. With this book, you will explore the concept of unsupervised learning to cluster large sets of data and analyze them repeatedly until the desired outcome is found using Python.＜/p＞＜p＞This book starts with the key differences between supervised, unsupervised, and semi-supervised learning. You will be introduced to the best-used libraries and frameworks from the Python ecosystem and address unsupervised learning in both the machine learning and deep learning domains. You will explore various algorithms, techniques that are used to implement unsupervised learning in real-world use cases. You will learn a variety of unsupervised learning approaches, including randomized optimization, clustering, feature selection and transformation, and information theory. You will get hands-on experience with how neural networks can be employed in unsupervised scenarios. You will also explore the steps involved in building and training a GAN in order to process images.＜/p＞＜p＞By the end of this book, you will have learned the art of unsupervised learning for different real-world challenges.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Use cluster algorithms to identify and optimize natural groups of data＜/li＞＜li＞Explore advanced non-linear and hierarchical clustering in action＜/li＞＜li＞Soft label assignments for fuzzy c-means and Gaussian mixture models＜/li＞＜li＞Detect anomalies through density estimation＜/li＞＜li＞Perform principal component analysis using neural network models＜/li＞＜li＞Create unsupervised models using GANs＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is intended for statisticians, data scientists, machine learning developers, and deep learning practitioners who want to build smart applications by implementing key building block unsupervised learning, and master all the new techniques and algorithms offered in machine learning and deep learning using real-world examples. Some prior knowledge of machine learning concepts and statistics is desirable.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,858円
Foster's Complete Hoyle: An Encyclopedia of Games Including all indoor games played to-day. With suggestions for good play, illustrative hands, and all official laws to date【電子書籍】[ R. F. Foster ] 楽天Kobo電子書籍ストア	＜p＞R. F. Foster's 'Foster's Complete Hoyle: An Encyclopedia of Games' is a comprehensive guide that delves into the world of games. The book covers a wide range of games with detailed instructions, rules, and strategies, making it a valuable resource for both beginners and seasoned players. Foster's writing style is clear and concise, making it easy for readers to understand and follow along. The context of the book lies in the rich history of game playing, showcasing the importance of games in various cultures and societies. This encyclopedia is not only informative but also a delightful read for anyone interested in the art of game playing. R. F. Foster, a respected author and historian, has a deep passion for games and their cultural significance. His expertise in history and literature has led him to compile this extensive encyclopedia, showcasing his knowledge and love for games of all kinds. Foster's meticulous research and attention to detail are evident throughout the book, making it a must-have for game enthusiasts and researchers alike. I highly recommend 'Foster's Complete Hoyle: An Encyclopedia of Games' to anyone looking to expand their knowledge of games and their history. Whether you are a casual player or a serious game enthusiast, this book offers valuable insights and information that will surely enhance your gaming experience.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	300円
Hands-On Agile Software Development with JIRA Design and manage software projects using the Agile methodology【電子書籍】[ David Harned ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Plan, track, and release great software＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Learn to create reports and dashboard for effective project management＜/li＞＜li＞Implement your development strategy in JIRA.＜/li＞＜li＞Practices to help you manage the issues in the development team＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞As teams scale in size, project management can get very complicated. One of the best tools to deal with this kind of problem is JIRA.＜/p＞＜p＞This book will start by organizing your project requirements and the principles of Agile development to get you started. You will then be introduced to set up a JIRA account and the JIRA ecosystem to help you implement a dashboard for your team's work and issues. You will learn how to manage any issues and bugs that might emerge in the development stage. Going ahead, the book will help you build reports and use them to plan the releases based on the study of the reports. Towards the end, you will come across working with the gathered data and create a dashboard that helps you track the project's development.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Create your first project (and manage existing projects) in JIRA＜/li＞＜li＞Manage your board view and backlogs in JIRA＜/li＞＜li＞Run a Scrum Sprint project in JIRA＜/li＞＜li＞Create reports (including topic-based reports)＜/li＞＜li＞Forecast using versions＜/li＞＜li＞Search for issues with JIRA Query Language (JQL)＜/li＞＜li＞Execute bulk changes to issues＜/li＞＜li＞Create custom filters, dashboards, and widgets＜/li＞＜li＞Create epics, stories, bugs, and tasks＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is for administrators who wants to apply the Agile approach to managing the issues, bugs, and releases in their software development projects using JIRA.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	2,723円
What is Reiki Hands on Healing With Energy A Guide to Self-Healing and Spiritual Cleansing Through Reiki Training【電子書籍】[ Theresa Carver ] 楽天Kobo電子書籍ストア	＜p＞What is Reiki Hands on Healing With Energy＜/p＞＜p＞Reiki: What is Reiki Healing? Learn Reiki, Gain Emotional Healing and Chakra Healing with Reiki Therapy and Reiki Meditation, the Benefits of Reiki Healing Touch Through Healing Hands, A Guide to Self-Healing and Spiritual Cleansing Through Reiki Training＜/p＞＜p＞Reiki is a Japanese type of spiritual practice also used for stress reduction and relaxation. It is a technique that also helps promote healing either for self or for other people. It is characterized as a practice of "laying of hands".＜/p＞＜p＞The healing powers of the technique are based on the idea that there is an unseen "life force energy" that flows through each person. This life force is said to be the reason why people are alive. When one's life force energy is low, then people are likely to get sick or feel weak. If the life force is high, people fell healthy and happy.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	644円
Hands-On Gradient Boosting with XGBoost and scikit-learn Perform accessible machine learning and extreme gradient boosting with Python【電子書籍】[ Corey Wade ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Get to grips with building robust XGBoost models using Python and scikit-learn for deployment＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Get up and running with machine learning and understand how to boost models with XGBoost in no time＜/li＞＜li＞Build real-world machine learning pipelines and fine-tune hyperparameters to achieve optimal results＜/li＞＜li＞Discover tips and tricks and gain innovative insights from XGBoost Kaggle winners＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞XGBoost is an industry-proven, open-source software library that provides a gradient boosting framework for scaling billions of data points quickly and efficiently.＜/p＞＜p＞The book introduces machine learning and XGBoost in scikit-learn before building up to the theory behind gradient boosting. You'll cover decision trees and analyze bagging in the machine learning context, learning hyperparameters that extend to XGBoost along the way. You'll build gradient boosting models from scratch and extend gradient boosting to big data while recognizing speed limitations using timers. Details in XGBoost are explored with a focus on speed enhancements and deriving parameters mathematically. With the help of detailed case studies, you'll practice building and fine-tuning XGBoost classifiers and regressors using scikit-learn and the original Python API. You'll leverage XGBoost hyperparameters to improve scores, correct missing values, scale imbalanced datasets, and fine-tune alternative base learners. Finally, you'll apply advanced XGBoost techniques like building non-correlated ensembles, stacking models, and preparing models for industry deployment using sparse matrices, customized transformers, and pipelines.＜/p＞＜p＞By the end of the book, you'll be able to build high-performing machine learning models using XGBoost with minimal errors and maximum speed.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Build gradient boosting models from scratch＜/li＞＜li＞Develop XGBoost regressors and classifiers with accuracy and speed＜/li＞＜li＞Analyze variance and bias in terms of fine-tuning XGBoost hyperparameters＜/li＞＜li＞Automatically correct missing values and scale imbalanced data＜/li＞＜li＞Apply alternative base learners like dart, linear models, and XGBoost random forests＜/li＞＜li＞Customize transformers and pipelines to deploy XGBoost models＜/li＞＜li＞Build non-correlated ensembles and stack XGBoost models to increase accuracy＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is for data science professionals and enthusiasts, data analysts, and developers who want to build fast and accurate machine learning models that scale with big data. Proficiency in Python, along with a basic understanding of linear algebra, will help you to get the most out of this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,880円
Hands-On Image Generation with TensorFlow A practical guide to generating images and videos using deep learning【電子書籍】[ Soon Yau Cheong ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Implement various state-of-the-art architectures, such as GANs and autoencoders, for image generation using TensorFlow 2.x from scratch＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Understand the different architectures for image generation, including autoencoders and GANs＜/li＞＜li＞Build models that can edit an image of your face, turn photos into paintings, and generate photorealistic images＜/li＞＜li＞Discover how you can build deep neural networks with advanced TensorFlow 2.x features＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞The emerging field of Generative Adversarial Networks (GANs) has made it possible to generate indistinguishable images from existing datasets. With this hands-on book, you'll not only develop image generation skills but also gain a solid understanding of the underlying principles.＜/p＞＜p＞Starting with an introduction to the fundamentals of image generation using TensorFlow, this book covers Variational Autoencoders (VAEs) and GANs. You'll discover how to build models for different applications as you get to grips with performing face swaps using deepfakes, neural style transfer, image-to-image translation, turning simple images into photorealistic images, and much more. You'll also understand how and why to construct state-of-the-art deep neural networks using advanced techniques such as spectral normalization and self-attention layer before working with advanced models for face generation and editing. You'll also be introduced to photo restoration, text-to-image synthesis, video retargeting, and neural rendering. Throughout the book, you'll learn to implement models from scratch in TensorFlow 2.x, including PixelCNN, VAE, DCGAN, WGAN, pix2pix, CycleGAN, StyleGAN, GauGAN, and BigGAN.＜/p＞＜p＞By the end of this book, you'll be well versed in TensorFlow and be able to implement image generative technologies confidently.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Train on face datasets and use them to explore latent spaces for editing new faces＜/li＞＜li＞Get to grips with swapping faces with deepfakes＜/li＞＜li＞Perform style transfer to convert a photo into a painting＜/li＞＜li＞Build and train pix2pix, CycleGAN, and BicycleGAN for image-to-image translation＜/li＞＜li＞Use iGAN to understand manifold interpolation and GauGAN to turn simple images into photorealistic images＜/li＞＜li＞Become well versed in attention generative models such as SAGAN and BigGAN＜/li＞＜li＞Generate high-resolution photos with Progressive GAN and StyleGAN＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞The Hands-On Image Generation with TensorFlow book is for deep learning engineers, practitioners, and researchers who have basic knowledge of convolutional neural networks and want to learn various image generation techniques using TensorFlow 2.x. You'll also find this book useful if you are an image processing professional or computer vision engineer looking to explore state-of-the-art architectures to improve and enhance images and videos. Knowledge of Python and TensorFlow will help you to get the best 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。	4,198円
Hands-On Geospatial Analysis with R and QGIS A beginner’s guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2【電子書籍】[ Shammunul Islam ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Practical examples with real-world projects in GIS, Remote sensing, Geospatial data management and Analysis using the R programming language＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Understand the basics of R and QGIS to work with GIS and remote sensing data＜/li＞＜li＞Learn to manage, manipulate, and analyze spatial data using R and QGIS＜/li＞＜li＞Apply machine learning algorithms to geospatial data using R and QGIS＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Managing spatial data has always been challenging and it's getting more complex as the size of data increases. Spatial data is actually big data and you need different tools and techniques to work your way around to model and create different workflows. R and QGIS have powerful features that can make this job easier.＜/p＞＜p＞This book is your companion for applying machine learning algorithms on GIS and remote sensing data. You’ll start by gaining an understanding of the nature of spatial data and installing R and QGIS. Then, you’ll learn how to use different R packages to import, export, and visualize data, before doing the same in QGIS. Screenshots are included to ease your understanding.＜/p＞＜p＞Moving on, you’ll learn about different aspects of managing and analyzing spatial data, before diving into advanced topics. You’ll create powerful data visualizations using ggplot2, ggmap, raster, and other packages of R. You’ll learn how to use QGIS 3.2.2 to visualize and manage (create, edit, and format) spatial data. Different types of spatial analysis are also covered using R. Finally, you’ll work with landslide data from Bangladesh to create a landslide susceptibility map using different machine learning algorithms.＜/p＞＜p＞By reading this book, you’ll transition from being a beginner to an intermediate user of GIS and remote sensing data in no time.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Install R and QGIS＜/li＞＜li＞Get familiar with the basics of R programming and QGIS＜/li＞＜li＞Visualize quantitative and qualitative data to create maps＜/li＞＜li＞Find out the basics of raster data and how to use them in R and QGIS＜/li＞＜li＞Perform geoprocessing tasks and automate them using the graphical modeler of QGIS＜/li＞＜li＞Apply different machine learning algorithms on satellite data for landslide susceptibility mapping and prediction＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is great for geographers, environmental scientists, statisticians, and every professional who deals with spatial data. If you want to learn how to handle GIS and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful but is not necessary.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,540円
Learn Physics with Functional Programming A Hands-on Guide to Exploring Physics with Haskell【電子書籍】[ Scott N. Walck ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Deepen your understanding of physics by learning to use the Haskell functional programming language.＜/strong＞＜/p＞＜p＞＜em＞Learn Physics with Functional Programming＜/em＞ is your key to unlocking the mysteries of theoretical physics by coding the underlying math in Haskell.＜/p＞＜p＞You’ll use Haskell’s type system to check that your code makes sense as you deepen your understanding of Newtonian mechanics and electromagnetic theory, including how to describe and calculate electric and magnetic fields.＜/p＞＜p＞As you work your way through the book’s numerous examples and exercises, you’ll learn how to:＜/p＞＜ul＞＜li＞Encode vectors, derivatives, integrals, scalar fields, vector fields, and differential equations＜/li＞＜li＞Express fundamental physical principles using the logic of Haskell’s type system to clarify Newton’s second law, Coulomb’s law, the Biot-Savart law, and the Maxwell equations＜/li＞＜li＞Use higher-order functions to express numerical integration and approximation methods, such as the Euler method and the finite-difference time-domain (FDTD) method＜/li＞＜li＞Create graphs, models, and animations of physical scenarios like colliding billiard balls, waves in a guitar string, and a proton in a magnetic field＜/li＞＜/ul＞＜p＞Whether you’re using this book as a core textbook for a computational physics course or for self-study, ＜em＞Learn Physics with Functional Programming＜/em＞ will teach you how to use the power of functional programming to explore the beautiful ideas of theoretical physics.＜/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。	4,272円
Hands-On Data Science for Marketing Improve your marketing strategies with machine learning using Python and R【電子書籍】[ Yoon Hyup Hwang ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Optimize your marketing strategies through analytics and machine learning＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Understand how data science drives successful marketing campaigns＜/li＞＜li＞Use machine learning for better customer engagement, retention, and product recommendations＜/li＞＜li＞Extract insights from your data to optimize marketing strategies and increase profitability＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Regardless of company size, the adoption of data science and machine learning for marketing has been rising in the industry. With this book, you will learn to implement data science techniques to understand the drivers behind the successes and failures of marketing campaigns. This book is a comprehensive guide to help you understand and predict customer behaviors and create more effectively targeted and personalized marketing strategies.＜/p＞＜p＞This is a practical guide to performing simple-to-advanced tasks, to extract hidden insights from the data and use them to make smart business decisions. You will understand what drives sales and increases customer engagements for your products. You will learn to implement machine learning to forecast which customers are more likely to engage with the products and have high lifetime value. This book will also show you how to use machine learning techniques to understand different customer segments and recommend the right products for each customer. Apart from learning to gain insights into consumer behavior using exploratory analysis, you will also learn the concept of A/B testing and implement it using Python and R.＜/p＞＜p＞By the end of this book, you will be experienced enough with various data science and machine learning techniques to run and manage successful marketing campaigns for your business.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Learn how to compute and visualize marketing KPIs in Python and R＜/li＞＜li＞Master what drives successful marketing campaigns with data science＜/li＞＜li＞Use machine learning to predict customer engagement and lifetime value＜/li＞＜li＞Make product recommendations that customers are most likely to buy＜/li＞＜li＞Learn how to use A/B testing for better marketing decision making＜/li＞＜li＞Implement machine learning to understand different customer segments＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞If you are a marketing professional, data scientist, engineer, or a student keen to learn how to apply data science to marketing, this book is what you need! It will be beneficial to have some basic knowledge of either Python or R to work through the examples. This book will also be beneficial for beginners as it covers basic-to-advanced data science concepts and applications in marketing with real-life 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。	3,858円
Hands-On Edge Analytics with Azure IoT Design and develop IoT applications with edge analytical solutions including Azure IoT Edge【電子書籍】[ Colin Dow ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Design, secure, and protect the privacy of edge analytics applications using platforms and tools such as Microsoft's Azure IoT Edge, MicroPython, and Open Source Computer Vision (OpenCV)＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Become well-versed with best practices for implementing automated analytical computations＜/li＞＜li＞Discover real-world examples to extend cloud intelligence＜/li＞＜li＞Develop your skills by understanding edge analytics and applying it to research activities＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Edge analytics has gained attention as the IoT model for connected devices rises in popularity. This guide will give you insights into edge analytics as a data analysis model, and help you understand why it's gaining momentum.＜/p＞＜p＞You'll begin with the key concepts and components used in an edge analytics app. Moving ahead, you'll delve into communication protocols to understand how sensors send their data to computers or microcontrollers. Next, the book will demonstrate how to design modern edge analytics apps that take advantage of the processing power of modern single-board computers and microcontrollers. Later, you'll explore Microsoft Azure IoT Edge, MicroPython, and the OpenCV visual recognition library. As you progress, you'll cover techniques for processing AI functionalities from the server side to the sensory side of IoT. You'll even get hands-on with designing a smart doorbell system using the technologies you've learned. To remove vulnerabilities in the overall edge analytics architecture, you'll discover ways to overcome security and privacy challenges. Finally, you'll use tools to audit and perform real-time monitoring of incoming data and generate alerts for the infrastructure.＜/p＞＜p＞By the end of this book, you'll have learned how to use edge analytics programming techniques and be able to implement automated analytical computations.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Discover the key concepts and architectures used with edge analytics＜/li＞＜li＞Understand how to use long-distance communication protocols for edge analytics＜/li＞＜li＞Deploy Microsoft Azure IoT Edge to a Raspberry Pi＜/li＞＜li＞Create Node-RED dashboards with MQTT and Text to Speech (TTS)＜/li＞＜li＞Use MicroPython for developing edge analytics apps＜/li＞＜li＞Explore various machine learning techniques and discover how machine learning is related to edge analytics＜/li＞＜li＞Use camera and vision recognition algorithms on the sensory side to design an edge analytics app＜/li＞＜li＞Monitor and audit edge analytics apps＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞If you are a data analyst, data architect, or data scientist who is interested in learning and practicing advanced automated analytical computations, then this book is for you. You will also find this book useful if you're looking to learn edge analytics from scratch. Basic knowledge of data analytics concepts is assumed to get the most out of this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,290円
Hands-On Generative Adversarial Networks with PyTorch 1.x Implement next-generation neural networks to build powerful GAN models using Python【電子書籍】[ John Hany ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Apply deep learning techniques and neural network methodologies to build, train, and optimize generative network models＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Implement GAN architectures to generate images, text, audio, 3D models, and more＜/li＞＜li＞Understand how GANs work and become an active contributor in the open source community＜/li＞＜li＞Learn how to generate photo-realistic images based on text descriptions＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞With continuously evolving research and development, Generative Adversarial Networks (GANs) are the next big thing in the field of deep learning. This book highlights the key improvements in GANs over generative models and guides in making the best out of GANs with the help of hands-on examples.＜/p＞＜p＞This book starts by taking you through the core concepts necessary to understand how each component of a GAN model works. You'll build your first GAN model to understand how generator and discriminator networks function. As you advance, you'll delve into a range of examples and datasets to build a variety of GAN networks using PyTorch functionalities and services, and become well-versed with architectures, training strategies, and evaluation methods for image generation, translation, and restoration. You'll even learn how to apply GAN models to solve problems in areas such as computer vision, multimedia, 3D models, and natural language processing (NLP). The book covers how to overcome the challenges faced while building generative models from scratch. Finally, you'll also discover how to train your GAN models to generate adversarial examples to attack other CNN and GAN models.＜/p＞＜p＞By the end of this book, you will have learned how to build, train, and optimize next-generation GAN models and use them to solve a variety of real-world problems.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Implement PyTorch's latest features to ensure efficient model designing＜/li＞＜li＞Get to grips with the working mechanisms of GAN models＜/li＞＜li＞Perform style transfer between unpaired image collections with CycleGAN＜/li＞＜li＞Build and train 3D-GANs to generate a point cloud of 3D objects＜/li＞＜li＞Create a range of GAN models to perform various image synthesis operations＜/li＞＜li＞Use SEGAN to suppress noise and improve the quality of speech audio＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This GAN book is for machine learning practitioners and deep learning researchers looking to get hands-on guidance in implementing GAN models using PyTorch. You'll become familiar with state-of-the-art GAN architectures with the help of real-world examples. Working knowledge of Python programming language is necessary to grasp the concepts covered in this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,290円
CCNA 200-301 Official Cert Guide Library: Advance Your It Career with Hands-On Learning BOXED-CCNA 200-301 OFF CERT 2V （Official Cert Guide） [ Wendell Odom ] 楽天ブックス	BOXEDーCCNA 200ー301 OFF CERT 2V Official Cert Guide Wendell Odom CISCO2019 Boxed　Set English ISBN：9781587147142 洋書 Computers & Science（コンピューター＆科学） Computers	9,504円
Hands-On Embedded Programming with Qt Develop high performance applications for embedded systems with C++ and Qt 5【電子書籍】[ John Werner ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞A comprehensive guide that will get you up and running with embedded software development using Qt5＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Learn to create fluid, cross-platform applications for embedded devices＜/li＞＜li＞Achieve optimum performance in your applications with QT Lite project＜/li＞＜li＞Explore the implementation of Qt with IoT using QtMqtt, QtKNX, and QtWebSockets＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Qt is an open-source toolkit suitable for cross-platform and embedded application development. This book uses inductive teaching to help you learn how to create applications for embedded and Internet of Things (IoT) devices with Qt 5.＜/p＞＜p＞You'll start by learning to develop your very first application with Qt. Next, you'll build on the first application by understanding new concepts through hands-on projects and written text. Each project will introduce new features that will help you transform your basic first project into a connected IoT application running on embedded hardware. In addition to practical experience in developing an embedded Qt project, you will also gain valuable insights into best practices for Qt development, along with exploring advanced techniques for testing, debugging, and monitoring the performance of Qt applications. Through the course of the book, the examples and projects are demonstrated in a way so that they can be run both locally and on an embedded platform.＜/p＞＜p＞By the end of this book, you will have the skills you need to use Qt 5 to confidently develop modern embedded applications.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Understand how to develop Qt applications using Qt Creator under Linux＜/li＞＜li＞Explore various Qt GUI technologies to build resourceful and interactive applications＜/li＞＜li＞Understand Qt's threading model to maintain a responsive UI＜/li＞＜li＞Get to grips with remote target load and debug under Qt Creator＜/li＞＜li＞Become adept at writing IoT code using Qt＜/li＞＜li＞Learn a variety of software best practices to ensure that your code is efficient＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is for software and hardware professionals with experience in different domains who are seeking new career opportunities in embedded systems and IoT. Working knowledge of the C++ Linux command line will be useful to get the most out of this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,290円
Hands-On Web Scraping with Python Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others【電子書籍】[ Anish Chapagain ] 楽天Kobo電子書籍ストア	＜p＞＜b＞Collect and scrape different complexities of data from the modern Web using the latest tools, best practices, and techniques ＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Learn different scraping techniques using a range of Python libraries such as Scrapy and Beautiful Soup＜/li＞＜li＞Build scrapers and crawlers to extract relevant information from the web＜/li＞＜li＞Automate web scraping operations to bridge the accuracy gap and manage complex business needs＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Web scraping is an essential technique used in many organizations to gather valuable data from web pages. This book will enable you to delve into web scraping techniques and methodologies. The book will introduce you to the fundamental concepts of web scraping techniques and how they can be applied to multiple sets of web pages. You'll use powerful libraries from the Python ecosystem such as Scrapy, lxml, pyquery, and bs4 to carry out web scraping operations. You will then get up to speed with simple to intermediate scraping operations such as identifying information from web pages and using patterns or attributes to retrieve information. This book adopts a practical approach to web scraping concepts and tools, guiding you through a series of use cases and showing you how to use the best tools and techniques to efficiently scrape web pages. You'll even cover the use of other popular web scraping tools, such as Selenium, Regex, and web-based APIs. By the end of this book, you will have learned how to efficiently scrape the web using different techniques with Python and other popular tools.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Analyze data and information from web pages＜/li＞＜li＞Learn how to use browser-based developer tools from the scraping perspective＜/li＞＜li＞Use XPath and CSS selectors to identify and explore markup elements＜/li＞＜li＞Learn to handle and manage cookies＜/li＞＜li＞Explore advanced concepts in handling HTML forms and processing logins＜/li＞＜li＞Optimize web securities, data storage, and API use to scrape data＜/li＞＜li＞Use Regex with Python to extract data＜/li＞＜li＞Deal with complex web entities by using Selenium to find and extract data＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for Python programmers, data analysts, web scraping newbies, and anyone who wants to learn how to perform web scraping from scratch. If you want to begin your journey in applying web scraping techniques to a range of web pages, then this book is what you need! A working knowledge of the Python programming language is expected. ＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,304円
Interpretable Machine Learning with Python Learn to build interpretable high-performance models with hands-on real-world examples【電子書籍】[ Serg Mas?s ] 楽天Kobo電子書籍ストア	＜p＞＜b＞A deep and detailed dive into the key aspects and challenges of machine learning interpretability, complete with the know-how on how to overcome and leverage them to build fairer, safer, and more reliable models＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Learn how to extract easy-to-understand insights from any machine learning model＜/li＞＜li＞Become well-versed with interpretability techniques to build fairer, safer, and more reliable models＜/li＞＜li＞Mitigate risks in AI systems before they have broader implications by learning how to debug black-box models＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Do you want to gain a deeper understanding of your models and better mitigate poor prediction risks associated with machine learning interpretation? If so, then Interpretable Machine Learning with Python deserves a place on your bookshelf. We’ll be starting off with the fundamentals of interpretability, its relevance in business, and exploring its key aspects and challenges. As you progress through the chapters, you'll then focus on how white-box models work, compare them to black-box and glass-box models, and examine their trade-off. You’ll also get you up to speed with a vast array of interpretation methods, also known as Explainable AI (XAI) methods, and how to apply them to different use cases, be it for classification or regression, for tabular, time-series, image or text. In addition to the step-by-step code, this book will also help you interpret model outcomes using examples. You’ll get hands-on with tuning models and training data for interpretability by reducing complexity, mitigating bias, placing guardrails, and enhancing reliability. The methods you’ll explore here range from state-of-the-art feature selection and dataset debiasing methods to monotonic constraints and adversarial retraining. By the end of this book, you'll be able to understand ML models better and enhance them through interpretability tuning. ＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Recognize the importance of interpretability in business＜/li＞＜li＞Study models that are intrinsically interpretable such as linear models, decision trees, and Na?ve Bayes＜/li＞＜li＞Become well-versed in interpreting models with model-agnostic methods＜/li＞＜li＞Visualize how an image classifier works and what it learns＜/li＞＜li＞Understand how to mitigate the influence of bias in datasets＜/li＞＜li＞Discover how to make models more reliable with adversarial robustness＜/li＞＜li＞Use monotonic constraints to make fairer and safer models＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is primarily written for data scientists, machine learning developers, and data stewards who find themselves under increasing pressures to explain the workings of AI systems, their impacts on decision making, and how they identify and manage bias. It’s also a useful resource for self-taught ML enthusiasts and beginners who want to go deeper into the subject matter, though a solid grasp on the Python programming language and ML fundamentals is needed to follow along.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,734円
Hands-On 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。	3,858円