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商品	説明	価格
Hands-On Agile Software Development with JIRA Design and manage software projects using the Agile methodology【電子書籍】[ David Harned ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Plan, track, and release great software＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Learn to create reports and dashboard for effective project management＜/li＞＜li＞Implement your development strategy in JIRA.＜/li＞＜li＞Practices to help you manage the issues in the development team＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞As teams scale in size, project management can get very complicated. One of the best tools to deal with this kind of problem is JIRA.＜/p＞＜p＞This book will start by organizing your project requirements and the principles of Agile development to get you started. You will then be introduced to set up a JIRA account and the JIRA ecosystem to help you implement a dashboard for your team's work and issues. You will learn how to manage any issues and bugs that might emerge in the development stage. Going ahead, the book will help you build reports and use them to plan the releases based on the study of the reports. Towards the end, you will come across working with the gathered data and create a dashboard that helps you track the project's development.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Create your first project (and manage existing projects) in JIRA＜/li＞＜li＞Manage your board view and backlogs in JIRA＜/li＞＜li＞Run a Scrum Sprint project in JIRA＜/li＞＜li＞Create reports (including topic-based reports)＜/li＞＜li＞Forecast using versions＜/li＞＜li＞Search for issues with JIRA Query Language (JQL)＜/li＞＜li＞Execute bulk changes to issues＜/li＞＜li＞Create custom filters, dashboards, and widgets＜/li＞＜li＞Create epics, stories, bugs, and tasks＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is for administrators who wants to apply the Agile approach to managing the issues, bugs, and releases in their software development projects using JIRA.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	3,288円
Basquiat X Warhol: Paintings 4 Hands BASQUIAT X WARHOL [ Editions Gallimard ] 楽天ブックス	BASQUIAT X WARHOL Editions Gallimard ED GALLIMARD2023 Hardcover English ISBN：9782073014979 洋書 Reference & Language（辞典＆語学） Reference	11,088円
Hands-On Agronomy【電子書籍】[ Neal Kinsey ] 楽天Kobo電子書籍ストア	＜p＞The soil is more than just a substrate that anchors crops in place. An ecologically balanced soil system is essential for maintaining healthy crops. Hands-On Agronomy is a comprehensive manual on effective soil fertility management providing many on-farm examples to illustrate the various principles and how to use them. The function of micronutrients, earthworms, soil drainage, tilth, soil structure, and organic matter is explained in thorough detail. Kinsey demonstrates that working with the soil produces healthier crops with a higher yield. To that end, he provides an understanding of eco-agriculture as a viable enterprise that is both naturally and commercially sustainable. This work offers advice that is both highly valuable and applicable to the farmer of any level and promotes an ecological understanding of the farm from the ground up.＜/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。	1,610円
Cook It! COOK IT （Helping Hands） [ Georgie Birkett ] 楽天ブックス	COOK IT Helping Hands Georgie Birkett CHILDS PLAY2009 Paperback English ISBN：9781846432842 洋書 Books for kids（児童書） Juvenile Fiction	1,108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	4,752円
How the World Works: A Hands-On Guide to Our Amazing Planet HOW THE WORLD WORKS （Explore the Earth） [ Christiane Dorion ] 楽天ブックス	HOW THE WORLD WORKS Explore the Earth Christiane Dorion Beverley Young TEMPLAR BOOKS2024 Paperback English ISBN：9781536235753 洋書 Books for kids（児童書） Juvenile Nonfiction	1,425円
ピンキッツえいごえほん2　てをあらおう Wash Your Hands [ The Pinkfong Company ] 楽天ブックス	The Pinkfong Company 関根麻里 Jリサーチ出版ピンキッツエイゴエホンイチコンニチハハローザピンクフォンカンパニーセキネマリ発行年月：2023年10月30日予約締切日：2023年09月08日ページ数：96p サイズ：単行本 ISBN：9784863926042 “てをあらおう　Wash　Your　Hands”“トイレさん、こんにちは！Hello，Potty！”“はをみがこう　Brush　Your　Teeth”からだやみなりをせいけつにする3話だよ。本絵本・児童書・図鑑絵本絵本(日本）	1,650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。	1,129円
GLAM POSTERS \| FEMININE HANDS LINE ART POSTER \| アートプリント/ポスター (30x40cm)【北欧リビングインテリア】北欧雑貨と音楽 HAFEN ハーフェン	関連商品GLAM POSTERS \| PORTRAIT TYPOGRAPHY ...GLAM POSTERS \| WOMAN POSE LINE ART ...3,080円3,080円GLAM POSTERS \| COLOR PALETTE POSTER...GLAM POSTERS \| PAMPAS GRASS BEIGE P...3,080円3,080円GLAM POSTERS \| DESERT SUNSET POSTER...GLAM POSTERS \| TRANSPARENT FLOWER P...3,080円3,080円GLAM POSTERS FEMININE HANDS LINE ART POSTERアートプリント/ポスター (30x40cm) Glam Postersによる「Jewelry For Your Walls」をテーマにしたスタイリッシュなアートポスター。ポーランドを拠点に活動するグラフィック・チーム、Glam Postersは箔押しやホログラフィーを使った特殊ポスターやアブストラクトなカラーペイントのアート、シンプルなモノクロ・コラージュなど、USやUKを中心に取り扱われています。「Jewelry For Your Walls」をテーマにリビングやショップのディスプレイにハイクオリティーなアートポスターを多数発表し、Instagramでも絶大な人気を誇っています。 [GLAM POSTERS全在庫はこちら] ■商品詳細製造国 POLAND ブランド名 GLAM POSTERS 素材上質紙取り扱いサイズ 30x40cm コンディション新品配送方法宅配便 / メール便備考 - ★在庫の無い商品、サイズ、カラーにつきましてはお取り寄せ可能な場合もございます。お気軽にお問い合せください。 ★色味はブラウザ上と、実際の商品とは誤差があることがございます。予めご了承ください。	3,080円
Hands-On Unsupervised Learning with Python Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more【電子書籍】[ Giuseppe Bonaccorso ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Discover the skill-sets required to implement various approaches to Machine Learning with Python＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Explore unsupervised learning with clustering, autoencoders, restricted Boltzmann machines, and more＜/li＞＜li＞Build your own neural network models using modern Python libraries＜/li＞＜li＞Practical examples show you how to implement different machine learning and deep learning techniques＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Unsupervised learning is about making use of raw, untagged data and applying learning algorithms to it to help a machine predict its outcome. With this book, you will explore the concept of unsupervised learning to cluster large sets of data and analyze them repeatedly until the desired outcome is found using Python.＜/p＞＜p＞This book starts with the key differences between supervised, unsupervised, and semi-supervised learning. You will be introduced to the best-used libraries and frameworks from the Python ecosystem and address unsupervised learning in both the machine learning and deep learning domains. You will explore various algorithms, techniques that are used to implement unsupervised learning in real-world use cases. You will learn a variety of unsupervised learning approaches, including randomized optimization, clustering, feature selection and transformation, and information theory. You will get hands-on experience with how neural networks can be employed in unsupervised scenarios. You will also explore the steps involved in building and training a GAN in order to process images.＜/p＞＜p＞By the end of this book, you will have learned the art of unsupervised learning for different real-world challenges.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Use cluster algorithms to identify and optimize natural groups of data＜/li＞＜li＞Explore advanced non-linear and hierarchical clustering in action＜/li＞＜li＞Soft label assignments for fuzzy c-means and Gaussian mixture models＜/li＞＜li＞Detect anomalies through density estimation＜/li＞＜li＞Perform principal component analysis using neural network models＜/li＞＜li＞Create unsupervised models using GANs＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is intended for statisticians, data scientists, machine learning developers, and deep learning practitioners who want to build smart applications by implementing key building block unsupervised learning, and master all the new techniques and algorithms offered in machine learning and deep learning using real-world examples. Some prior knowledge of machine learning concepts and statistics is desirable.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,659円
Foster's Complete Hoyle: An Encyclopedia of Games Including all indoor games played to-day. With suggestions for good play, illustrative hands, and all official laws to date【電子書籍】[ R. F. Foster ] 楽天Kobo電子書籍ストア	＜p＞In "Foster's Complete Hoyle: An Encyclopedia of Games," R. F. Foster expertly compiles a comprehensive guide to the vast universe of games, both traditional and contemporary. This meticulously researched work features clear explanations of game rules, strategies, and historical contexts, making it an essential reference for both casual players and dedicated enthusiasts. Foster's engaging prose and organizational clarity reflect a deep understanding of game theory and cultural significance, offering insights into how games have shaped social interactions across centuries. R. F. Foster, an esteemed authority in game theory and a lifelong enthusiast of recreational pastimes, draws on extensive academic and personal experiences in crafting this encyclopedic text. His passion for games, coupled with a scholarly approach, enriches the narrative, illuminating the connections between leisure activities and broader societal trends. Foster's keen observations and captivating storytelling celebrate the psychological and social dynamics inherent in gameplay, making this work as much a historical document as a practical guide. This book is a must-have for anyone intrigued by the mechanics of games or interested in their cultural implications. Whether you are a casual player looking to explore new games, a parent seeking family-friendly options, or a scholar studying social constructs, "Foster's Complete Hoyle" provides both depth and accessibility, making it an invaluable addition to any library.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	310円
Arduino Nano Every A Hands-On Guide【電子書籍】[ Agus Kurniawan ] 楽天Kobo電子書籍ストア	＜p＞This book helps you to get started with Arduino Nano Every development with step-by-step approach and project samples. The following is a list of highlight topics in this book:＜/p＞＜ul＞＜li＞Preparing Development Environment＜/li＞＜li＞Setting Up Arduino Nano Every＜/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＞Working with DHT Module＜/li＞＜li＞Working with GPS Module＜/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。	460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 Unity 2020 Game Development Build, customize, and optimize professional games using Unity 2020 and C#【電子書籍】[ Nicolas Alejandro Borromeo ] 楽天Kobo電子書籍ストア	＜p＞＜b＞Build immersive game experiences using the new Unity 2020 features with this practical guide＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Unleash the capabilities of C\# scripting for creating immersive UI, graphics, Game AI agents and much more＜/li＞＜li＞Explore Unity's latest tools, including Universal Render Pipeline, Shader Graph, and VFX graph, to enhance graphics and animation＜/li＞＜li＞Get started with building augmented reality experience using Unity’s AR Foundation＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Over the years, the Unity game engine has extended its scope from just being about creating video games to building AR/VR experiences, complex simulations, real-time realistic rendering, films, and serious games for training and education. Its features for implementing gameplay, graphics, and customization using C\# programming make Unity a comprehensive platform for developing professional-level, rich experiences. With this book, you'll be able to build impressive Unity projects in a step-by-step manner and apply your knowledge of Unity concepts to create a real-world game. Complete with hands-on tutorials and projects, this easy-to-follow guide will show you how to develop your first complete game using a variety of Unity tools. As you make progress, you'll learn how to make the most of the Unity Editor and create scripts using the C\# programming language. This Unity game development book will then take you through integrating graphics, sound, and animations and manipulating physics to create impressive mechanics for your games. You'll also learn how to code a simple AI agent to challenge the user and use profiling tools to ensure that the code runs in a performant way. Finally, you'll get to grips with Unity's AR Foundation for creating AR experiences for 3D apps and games. By the end of this book, you'll have developed a complete game and will have built a solid foundation using Unity's tooling ecosystem to develop game projects of any scale.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Write scripts for customizing various aspects of a game, such as physics, gameplay, and UI＜/li＞＜li＞Program rich shaders and effects using Unity s new Shader Graph and Universal Render Pipeline＜/li＞＜li＞Implement postprocessing to increase graphics quality with full-screen effects＜/li＞＜li＞Create rich particle systems for your Unity games from scratch using VFX Graph and Shuriken＜/li＞＜li＞Add animations to your game using the Animator, Cinemachine, and Timeline＜/li＞＜li＞Implement game artificial intelligence (AI) to control character behavior＜/li＞＜li＞Detect and fix optimization issues using profilers and batching＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for game developers looking to migrate to the Unity game engine. If you are a developer with some exposure to Unity, this book will help you explore its latest features. Prior experience with C\# programming is required to get the most out of the book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	6,888円
Arduino Nano A Hands-On Guide for Beginner【電子書籍】[ Agus Kurniawan ] 楽天Kobo電子書籍ストア	＜p＞This book is designed for anyone who wants to learn Arduino Nano development based on ATmega328 microcontroller. The following is a list of highlight topics in this book.＜/p＞＜ul＞＜li＞Preparing Development Environment＜/li＞＜li＞Setting Up Arduino Nano＜/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＞Working with DHT Module＜/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。	306円
Four-Hand Piano Music by Nineteenth-Century Masters 4-HAND PIANO MUSIC BY 19TH-CEN （Dover Classical Piano Music: Four Hands） [ Morey Ritt ] 楽天ブックス	4ーHAND PIANO MUSIC BY 19THーCEN Dover Classical Piano Music: Four Hands Morey Ritt DOVER PUBN INC1980 Paperback English ISBN：9780486238609 洋書 Art & Entertainment（芸術＆エンターテインメント） Music	5,544円
Hands-On AWS Penetration Testing with Kali Linux Set up a virtual lab and pentest major AWS services, including EC2, S3, Lambda, and CloudFormation【電子書籍】[ Karl Gilbert ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Identify tools and techniques to secure and perform a penetration test on an AWS infrastructure using Kali Linux＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Efficiently perform penetration testing techniques on your public cloud instances＜/li＞＜li＞Learn not only to cover loopholes but also to automate security monitoring and alerting within your cloud-based deployment pipelines＜/li＞＜li＞A step-by-step guide that will help you leverage the most widely used security platform to secure your AWS Cloud environment＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞The cloud is taking over the IT industry. Any organization housing a large amount of data or a large infrastructure has started moving cloud-ward ー and AWS rules the roost when it comes to cloud service providers, with its closest competitor having less than half of its market share. This highlights the importance of security on the cloud, especially on AWS. While a lot has been said (and written) about how cloud environments can be secured, performing external security assessments in the form of pentests on AWS is still seen as a dark art.＜/p＞＜p＞This book aims to help pentesters as well as seasoned system administrators with a hands-on approach to pentesting the various cloud services provided by Amazon through AWS using Kali Linux. To make things easier for novice pentesters, the book focuses on building a practice lab and refining penetration testing with Kali Linux on the cloud. This is helpful not only for beginners but also for pentesters who want to set up a pentesting environment in their private cloud, using Kali Linux to perform a white-box assessment of their own cloud resources. Besides this, there is a lot of in-depth coverage of the large variety of AWS services that are often overlooked during a pentest ー from serverless infrastructure to automated deployment pipelines.＜/p＞＜p＞By the end of this book, you will be able to identify possible vulnerable areas efficiently and secure your AWS cloud environment.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Familiarize yourself with and pentest the most common external-facing AWS services＜/li＞＜li＞Audit your own infrastructure and identify flaws, weaknesses, and loopholes＜/li＞＜li＞Demonstrate the process of lateral and vertical movement through a partially compromised AWS account＜/li＞＜li＞Maintain stealth and persistence within a compromised AWS account＜/li＞＜li＞Master a hands-on approach to pentesting＜/li＞＜li＞Discover a number of automated tools to ease the process of continuously assessing and improving the security stance of an AWS infrastructure＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞If you are a security analyst or a penetration tester and are interested in exploiting Cloud environments to reveal vulnerable areas and secure them, then this book is for you.＜/p＞＜p＞A basic understanding of penetration testing, cloud computing, and its security concepts is mandatory.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,659円
Hands-On Microservices with Spring Boot and Spring Cloud Build and deploy Java microservices using Spring Cloud, Istio, and Kubernetes【電子書籍】[ Magnus Larsson ] 楽天Kobo電子書籍ストア	＜p＞＜b＞Apply microservices patterns to build resilient and scalable distributed systems＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Understand the challenges of building large-scale microservice landscapes＜/li＞＜li＞Build cloud-native production-ready microservices with this comprehensive guide＜/li＞＜li＞Discover how to get the best out of Spring Cloud, Kubernetes, and Istio when used together＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Microservices architecture allows developers to build and maintain applications with ease, and enterprises are rapidly adopting it to build software using Spring Boot as their default framework. With this book, you’ll learn how to efficiently build and deploy microservices using Spring Boot. This microservices book will take you through tried and tested approaches to building distributed systems and implementing microservices architecture in your organization. Starting with a set of simple cooperating microservices developed using Spring Boot, you’ll learn how you can add functionalities such as persistence, make your microservices reactive, and describe their APIs using Swagger/OpenAPI. As you advance, you’ll understand how to add different services from Spring Cloud to your microservice system. The book also demonstrates how to deploy your microservices using Kubernetes and manage them with Istio for improved security and traffic management. Finally, you’ll explore centralized log management using the EFK stack and monitor microservices using Prometheus and Grafana. By the end of this book, you’ll be able to build microservices that are scalable and robust using Spring Boot and Spring Cloud.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Build reactive microservices using Spring Boot＜/li＞＜li＞Develop resilient and scalable microservices using Spring Cloud＜/li＞＜li＞Use OAuth 2.0/OIDC and Spring Security to protect public APIs＜/li＞＜li＞Implement Docker to bridge the gap between development, testing, and production＜/li＞＜li＞Deploy and manage microservices using Kubernetes＜/li＞＜li＞Apply Istio for improved security, observability, and traffic management＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for Java and Spring developers and architects who want to learn how to break up their existing monoliths into microservices and deploy them either on-premises or in the cloud using Kubernetes as a container orchestrator and Istio as a service Mesh. No familiarity with microservices architecture is required to get started with this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	5,166円
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。	8,496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
PYTHON: Practical Python Programming For Beginners & Experts With Hands-on Project【電子書籍】[ Mark Chan ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞PYTHONThe Ultimate Python One Day Quickstart Guide. Practical Python ＜em＞Programming For Beginners & Experts With Hands-on Project＜/em＞＜/strong＞＜/p＞＜p＞This book contains proven steps and strategies on how to learn Python programming in just a few days. While I don't profess to be able to make you a fully- fledged programmer in that time, my book is aimed at teaching you the basics of Python.＜/p＞＜p＞Why Python?＜/p＞＜p＞Why not C+, Swift, Ruby or Java?＜/p＞＜p＞There are a lot of very good computer programs out there and each has its pitfalls and its good side. Python is the easiest to learn and once you have a good grounding in it, you can move on to another, more complicated language.＜/p＞＜p＞Python is a beautiful computer language. It is simple, and it is intuitive. It comes complete with plenty of libraries and frameworks to help you manage most everything you want to do. And, to back it up, there is a very powerful Python community just waiting to help you out and point you in the right direction.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	350円
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。	5,892円
Here Are My Hands HERE ARE MY HANDS （Owlet Book） [ Bill Martin ] 楽天ブックス	HERE ARE MY HANDS Owlet Book Bill Martin John Archambault Ted Rand HENRY HOLT1989 Paperback English ISBN：9780805011685 洋書 Books for kids（児童書） Juvenile Fiction	1,485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。	3,973円
Writing Picture Books Revised and Expanded Edition A Hands-On Guide From Story Creation to Publication【電子書籍】[ Ann Whitford Paul ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Master the Art of Writing Enthralling Tales for the Youngest pre-and emerging readers!＜/strong＞＜/p＞＜p＞Fully updated and thoroughly revised, ＜em＞Writing Picture Books Revised and Expanded Edition＜/em＞ is the go-to resource for writers crafting stories for children ages two to eight. You'll learn the unique set of skills it takes to bring your story to life by using tightly focused text and leaving room for the illustrator to be creative.＜/p＞＜p＞Award-winning author Ann Whitford Paul helps you develop the skills you need by walking you through techniques and exercises specifically for picture book writers. You'll find:＜/p＞＜p＞? Instruction on generating ideas, creating characters, point-of-view, beginnings and endings, plotting, word count, rhyme, and more＜br /＞ ? Unique methods for using poetic techniques to enrich your writing＜br /＞ ? Hands-on revision exercises (get out your scissors, tape, and highlighters) to help identify problems and improve your picture book manuscripts＜br /＞ ? Updated tips for researching the changing picture book market, approaching publishers, working with an agent, and developing a platform＜br /＞ ? All new quizzes and examples from picture books throughout＜br /＞ ? New chapters cover issues such as page turns, agents, and self-publishing＜/p＞＜p＞Whether you're just starting out as a picture book writer or have tried unsuccessfully to get your work published, ＜em＞Writing Picture Books Revised and Expanded Edition＜/em＞ is just what you need to craft picture books that will appeal to young children and parents, and agents and editors.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	2,036円
Your Amazing Hands: A Training Young Hearts Rhyming Book YOUR AMAZING HANDS （Training Young Hearts） [ Abbey Wedgeworth ] 楽天ブックス	YOUR AMAZING HANDS Training Young Hearts Abbey Wedgeworth Emma Randall GOOD BOOK CO2024 Hardcover English ISBN：9781784989699 洋書 Books for kids（児童書） Juvenile Nonfiction	2,376円
Tai CHI Push Hands: The Martial Foundation of Tai CHI Chuan TAI CHI PUSH HANDS [ Jwing-Ming Yang ] 楽天ブックス	TAI CHI PUSH HANDS JwingーMing Yang David W. Grantham YMAA PUBN CTR2020 Paperback English ISBN：9781594396458 洋書 Family life & Comics（生活＆コミック） Health & Fitness	4,752円
Hands on Start to Wolframalpha Notebook Edition HANDS ON START TO WOLFRAMALPHA [ Cliff Hastings ] 楽天ブックス	HANDS ON START TO WOLFRAMALPHA Cliff Hastings Kelvin Mischo WOLFRAM MEDIA INC2020 Paperback English ISBN：9781579550394 洋書 Computers & Science（コンピューター＆科学） Computers	4,752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。	5,070円