Hands and on
楽天市場検索
レディースファッション (327) (Hands and on)
メンズファッション (247) (Hands and on)
インナー・下着・ナイトウェア (124) (Hands and on)
バッグ・小物・ブランド雑貨 (234) (Hands and on)
靴 (742) (Hands and on)
腕時計 (345) (Hands and on)
ジュエリー・アクセサリー (117) (Hands and on)
キッズ・ベビー・マタニティ (48) (Hands and on)
おもちゃ (63) (Hands and on)
スポーツ・アウトドア (614) (Hands and on)
家電 (101) (Hands and on)
TV・オーディオ・カメラ (13) (Hands and on)
パソコン・周辺機器 (44) (Hands and on)
スマートフォン・タブレット (3915) (Hands and on)
光回線・モバイル通信 (0)
食品 (7) (Hands and on)
スイーツ・お菓子 (12) (Hands and on)
水・ソフトドリンク (5) (Hands and on)
ビール・洋酒 (9) (Hands and on)
日本酒・焼酎 (0)
インテリア・寝具・収納 (108) (Hands and on)
日用品雑貨・文房具・手芸 (77) (Hands and on)
キッチン用品・食器・調理器具 (66) (Hands and on)
本・雑誌・コミック (5507) (Hands and on)
CD・DVD (1032) (Hands and on)
テレビゲーム (7) (Hands and on)
ホビー (1453) (Hands and on)
楽器・音響機器 (406) (Hands and on)
車・バイク (2) (Hands and on)
車用品・バイク用品 (8011) (Hands and on)
美容・コスメ・香水 (209) (Hands and on)
ダイエット・健康 (2) (Hands and on)
医薬品・コンタクト・介護 (15) (Hands and on)
ペット・ペットグッズ (17) (Hands and on)
花・ガーデン・DIY (89) (Hands and on)
サービス・リフォーム (1) (Hands and on)
住宅・不動産 (0)
カタログギフト・チケット (0)
百貨店・総合通販・ギフト (0)
レディースファッション (327) (Hands and on)
メンズファッション (247) (Hands and on)
インナー・下着・ナイトウェア (124) (Hands and on)
バッグ・小物・ブランド雑貨 (234) (Hands and on)
靴 (742) (Hands and on)
腕時計 (345) (Hands and on)
ジュエリー・アクセサリー (117) (Hands and on)
キッズ・ベビー・マタニティ (48) (Hands and on)
おもちゃ (63) (Hands and on)
スポーツ・アウトドア (614) (Hands and on)
家電 (101) (Hands and on)
TV・オーディオ・カメラ (13) (Hands and on)
パソコン・周辺機器 (44) (Hands and on)
スマートフォン・タブレット (3915) (Hands and on)
光回線・モバイル通信 (0)
食品 (7) (Hands and on)
スイーツ・お菓子 (12) (Hands and on)
水・ソフトドリンク (5) (Hands and on)
ビール・洋酒 (9) (Hands and on)
日本酒・焼酎 (0)
インテリア・寝具・収納 (108) (Hands and on)
日用品雑貨・文房具・手芸 (77) (Hands and on)
キッチン用品・食器・調理器具 (66) (Hands and on)
本・雑誌・コミック (5507) (Hands and on)
CD・DVD (1032) (Hands and on)
テレビゲーム (7) (Hands and on)
ホビー (1453) (Hands and on)
楽器・音響機器 (406) (Hands and on)
車・バイク (2) (Hands and on)
車用品・バイク用品 (8011) (Hands and on)
美容・コスメ・香水 (209) (Hands and on)
ダイエット・健康 (2) (Hands and on)
医薬品・コンタクト・介護 (15) (Hands and on)
ペット・ペットグッズ (17) (Hands and on)
花・ガーデン・DIY (89) (Hands and on)
サービス・リフォーム (1) (Hands and on)
住宅・不動産 (0)
カタログギフト・チケット (0)
百貨店・総合通販・ギフト (0)
23969件中 1件 - 30件
1 2 3 4 5 6
| 商品 | 説明 | 価格 |
|---|---|---|
 パッツ アンド ホール ハンズ オブ タイム ソノマ カウンティ ピノ ノワール 2018Patz & Hall HANDS OF TIME Sonoma County Pinot Noir 【赤/ミディアムボディ】 ナヴェデヴィーノ | 1988年、ドナルド・パッツ氏とジェイムス・ホール氏、アン・モーゼズ女史、へザー・パッツ女史の才能あふれる4人により設立され、シャルドネとピノ・ノワールに特化したワイン造りを行っています。上質なワインの生産に携わってきた経験を活かし、ジェイムス・ホール氏が醸造責任者としてワイナリーを率い、4名がチームとなり共同経営をしています。ロシアン・リバー・ヴァレー、カーネロス、メンドシーノ・カウンティ、ソノマ・コースト、サンタ・ルチア・ハイランズ、それぞれの土地の個性を表現し、最大限生かすことを重視してワイン造りを行い、現在ではカリフォルニアを代表するワインの一つとして評価されています。 2018年限定商品。創業からパッツ＆ホールの醸造を担ってきたジェームズ ホールがハンズ オブ タイム名義で手掛けたソノマカウンティのピノノワール。ブドウはパッツ＆ホールの契約畑のもの。醸造設備はパッツ＆ホールの物を使用。涼し気な18年の気候を反映して良く熟した赤い果実の香りが印象的。パッツ＆ホールらしい美しい酸味もしっかり感じられる。 内容量 750ml 原材料 ブドウ品種：ピノ・ノワール 100％ 保存方法 冷暗所にて保存 原産国名 アメリカ カリフォルニア ソノマ 輸入者 ファインズ [ct_w_26],[ct_w_30] | 5,555円 |
 パッツ・アンド・ホール ハンズ・オブ・タイム ソノマ・カウンティ ピノ・ノワール [2018]Patz and HallHands Of Time Sonoma County Pinot Noir マリアージュ・ド・ケイ | パッツ・アンド・ホール カリフォルニアのプレミアム・ピノ・ノワールとシャルドネ 1988年、ドナルド・パッツ氏とジェームス・ホール氏、アン・モーゼズ女史、へザー・パッツ女史の才能あふれる4人により設立され、シャルドネとピノ・ノワールに特化したワイン造りを行っています。上質なワインの生産に携わってきた経験を活かし、ジェームス・ホール氏が醸造責任者としてワイナリーを率いています。ロシアン・リバー・ヴァレー、カーネロス、メンドシーノ・カウンティ、ソノマ・コースト、サンタ・ルシア・ハイランズ、それぞれの土地の個性を表現し、最大限生かすことを重視してワイン造りを行い、現在ではカリフォルニアを代表するワインの一つとして評価されています。 パッツ＆ホールでは、自社畑は持たず、設立当初から最高の畑を探し求め、ソノマ、ナパで有能なブドウ栽培者たちと長期的な関係を築いてきました。ロシアン・リバー・ヴァレー、カーネロス、メンドシーノ・カウンティ、ソノマ・コースト、サンタ・ルシア・ハイランズ各地区を代表するオーナーと契約して一緒にワインを造っています。 それぞれの畑のポテンシャルを最大限に引き出すため、キュヴェごとに樽や酵母、クローンの選定にこだわって醸造を行っています。 ■ パッツ・アンド・ホール ハンズ・オブ・タイム ソノマ・カウンティ ピノ・ノワ－ル2018ヴィンテージ限定商品。創業からパッツ＆ホールの醸造を担ってきたジェームズ・ホールがハンズ・オブ・タイム名義で手掛けたソノマ・カウンティのピノ・ノワール。ブドウはパッツ＆ホールの契約畑のもの。醸造設備はパッツ＆ホールの物を使用。 涼し気な18年の気候を反映して赤い果実（良く熟した）が印象的。パッツ＆ホールらしい美しい酸味もしっかり感じられるワインです。 | 5,390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。 | 4,932円 |
 Hands-On RESTful Web Services with Go Develop elegant RESTful APIs with Golang for microservices and the cloud, 2nd Edition【電子書籍】[ Naren Yellavula ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Design production-ready, testable, and maintainable RESTful web services for the modern web that scale easily＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Employ a combination of custom and open source solutions for application program interface (API) development＜/li＞ ＜li＞Discover asynchronous API and API security patterns and learn how to deploy your web services to the cloud＜/li＞ ＜li＞Apply design patterns and techniques to build reactive and scalable web services＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Building RESTful web services can be tough as there are countless standards and ways to develop API. In modern architectures such as microservices, RESTful APIs are common in communication, making idiomatic and scalable API development crucial. This book covers basic through to advanced API development concepts and supporting tools.＜/p＞ ＜p＞You'll start with an introduction to REST API development before moving on to building the essential blocks for working with Go. You'll explore routers, middleware, and available open source web development solutions in Go to create robust APIs, and understand the application and database layers to build RESTful web services. You'll learn various data formats like protocol buffers and JSON, and understand how to serve them over HTTP and gRPC. After covering advanced topics such as asynchronous API design and GraphQL for building scalable web services, you'll discover how microservices can benefit from REST. You'll also explore packaging artifacts in the form of containers and understand how to set up an ideal deployment ecosystem for web services. Finally, you'll cover the provisioning of infrastructure using infrastructure as code (IaC) and secure your REST API.＜/p＞ ＜p＞By the end of the book, you'll have intermediate knowledge of web service development and be able to apply the skills you've learned in a practical way.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Explore the fundamentals of API development and web services＜/li＞ ＜li＞Understand the various building blocks of API development in Go＜/li＞ ＜li＞Use superior open source solutions for representational state transfer (REST) API development＜/li＞ ＜li＞Scale a service using microservices and asynchronous design patterns＜/li＞ ＜li＞Deliver containerized artifacts to the Amazon Web Services (AWS) Cloud＜/li＞ ＜li＞Get to grips with API security and its implementation＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is for all the Go developers who are comfortable with the language and seeking to learn REST API development. Even senior engineers can enjoy this book, as it discusses many cutting-edge concepts, such as building microservices, developing API with GraphQL, using protocol buffers, asynchronous API design, and Infrastructure as a Code. Developers who are already familiar with REST concepts and stepping into the Go world from other platforms, such as Python and Ruby, can also benefit a lot.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 3,973円 |
 Hands-On Neural Networks with TensorFlow 2.0 Understand TensorFlow, from static graph to eager execution, and design neural networks【電子書籍】[ Paolo Galeone ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞A comprehensive guide to developing neural network-based solutions using TensorFlow 2.0＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Understand the basics of machine learning and discover the power of neural networks and deep learning＜/li＞ ＜li＞Explore the structure of the TensorFlow framework and understand how to transition to TF 2.0＜/li＞ ＜li＞Solve any deep learning problem by developing neural network-based solutions using TF 2.0＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞TensorFlow, the most popular and widely used machine learning framework, has made it possible for almost anyone to develop machine learning solutions with ease. With TensorFlow (TF) 2.0, you'll explore a revamped framework structure, offering a wide variety of new features aimed at improving productivity and ease of use for developers.＜/p＞ ＜p＞This book covers machine learning with a focus on developing neural network-based solutions. You'll start by getting familiar with the concepts and techniques required to build solutions to deep learning problems. As you advance, you'll learn how to create classifiers, build object detection and semantic segmentation networks, train generative models, and speed up the development process using TF 2.0 tools such as TensorFlow Datasets and TensorFlow Hub.＜/p＞ ＜p＞By the end of this TensorFlow book, you'll be ready to solve any machine learning problem by developing solutions using TF 2.0 and putting them into production.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Grasp machine learning and neural network techniques to solve challenging tasks＜/li＞ ＜li＞Apply the new features of TF 2.0 to speed up development＜/li＞ ＜li＞Use TensorFlow Datasets (tfds) and the tf.data API to build high-efficiency data input pipelines＜/li＞ ＜li＞Perform transfer learning and fine-tuning with TensorFlow Hub＜/li＞ ＜li＞Define and train networks to solve object detection and semantic segmentation problems＜/li＞ ＜li＞Train Generative Adversarial Networks (GANs) to generate images and data distributions＜/li＞ ＜li＞Use the SavedModel file format to put a model, or a generic computational graph, into production＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞If you're a developer who wants to get started with machine learning and TensorFlow, or a data scientist interested in developing neural network solutions in TF 2.0, this book is for you. Experienced machine learning engineers who want to master the new features of the TensorFlow framework will also find this book useful.＜/p＞ ＜p＞Basic knowledge of calculus and a strong understanding of Python programming will help you grasp the topics 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 |
 Hands on Hacking: Become an Expert at Next Gen Penetration Testing and Purple Teaming HANDS ON HACKING [ Matthew Hickey ] 楽天ブックス | HANDS ON HACKING Matthew Hickey Jennifer Arcuri WILEY2020 Paperback English ISBN：9781119561453 洋書 Computers & Science（コンピューター＆科学） Computers | 7,128円 |
 Data Analysis with Open Source Tools A Hands-On Guide for Programmers and Data Scientists【電子書籍】[ Philipp K. Janert ] 楽天Kobo電子書籍ストア | ＜p＞Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications.＜/p＞ ＜p＞Along the way, you'll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you'll learn how to think about the results you want to achieve -- rather than rely on tools to think for you.＜/p＞ ＜ul＞ ＜li＞Use graphics to describe data with one, two, or dozens of variables＜/li＞ ＜li＞Develop conceptual models using back-of-the-envelope calculations, as well as scaling and probability arguments＜/li＞ ＜li＞Mine data with computationally intensive methods such as simulation and clustering＜/li＞ ＜li＞Make your conclusions understandable through reports, dashboards, and other metrics programs＜/li＞ ＜li＞Understand financial calculations, including the time-value of money＜/li＞ ＜li＞Use dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situations＜/li＞ ＜li＞Become familiar with different open source programming environments for data analysis＜/li＞ ＜/ul＞ ＜p＞"Finally, a concise reference for understanding how to conquer piles of data." --Austin King, Senior Web Developer, Mozilla＜/p＞ ＜p＞"An indispensable text for aspiring data scientists." --Michael E. Driscoll, CEO/Founder, Dataspora＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 2,895円 |
 100 Easy STEAM Activities Awesome Hands-On Projects for Aspiring Artists and Engineers【電子書籍】[ Andrea Scalzo Yi ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Exciting Activities for Young Artists, Scientists and Engineers＜/strong＞＜/p＞ ＜p＞Spark your curiosity with these fun games and creative projects to learn early concepts in Science, Technology, Engineering, Art and Math. These incredible activities from Andrea Scalzo Yi, creator of Raising Dragons, make learning such a blast, you’ll forget you’re doing it!＜/p＞ ＜p＞Feeling bored on a rainy day? Now you can pick a project, gather your supplies and let the magic happen. Try far-out science experiments like making Shaving Cream Rain Clouds or Lava Lamps. Make math-time snack-time with delicious Cream-Filled Cookie Fractions. Unlock boundless creativity with art projects like Marbled Paper or Monster Bugs. With seasonal activities like the Pool Noodle Obstacle Course and Erupting Pumpkins, there are games to love year-round.＜/p＞ ＜p＞Have fun learning early ideas in chemistry, physics, computing, color-mixing and so much more, all while problem-solving and working together with friends. With projects that use common household items and require little adult supervision, ＜em＞100 Easy STEAM Activities＜/em＞ is the ultimate resource for an amazing, creative day of learning.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 1,805円 |
 Hands-on Azure Boards Configuring and Customizing Process Workflows in Azure DevOps Services【電子書籍】[ Chaminda Chandrasekara ] 楽天Kobo電子書籍ストア | ＜p＞Understand and explore the features and management of Azure Boards with this book, which also covers Azure Boards configuration and advanced administration. This book starts by setting up projects with Azure DevOps and gives an overview of Azure Boards and its features. You will then learn to set up team projects and how to effectively use Azure Boards to plan and execute work.＜/p＞ ＜p＞＜em＞Hands-on Azure Boards＜/em＞ explains customizations, where you will understand the available options to track your work considering different scenarios. Next, you will learn visualizing with queries, charts, and dashboards along with reporting of Azure Boards. The author gives you hands-on lessons to set up Azure Boards and shows you how to handle multiple modules that are taken care of by different teams.＜/p＞ ＜p＞You will also explore the security options in Azure Boards as well as a detailed demonstration of working with the REST API and CLI. Finally,you will work with useful extensions for Azure Boards and see how to use them more effectively and efficiently. After reading this book, you will be able to work with the Azure Boards capabilities available in Azure DevOps on-premise server and services to improve your software delivery process.＜/p＞ ＜p＞＜strong＞What You Will Learn＜/strong＞＜/p＞ ＜ul＞ ＜li＞Plan and manage work with Azure Boards＜/li＞ ＜li＞Use the REST API and command line interface with Azure Boards＜/li＞ ＜li＞Extend Azure Boards with useful extensions to enhance its capabilities＜/li＞ ＜li＞Customize Azure Boards to adapt it to your process＜/li＞ ＜li＞Report and visualize work progress with Azure Boards＜/li＞ ＜/ul＞ ＜p＞＜strong＞Who This Book Is For＜/strong＞＜/p＞ ＜p＞Anyone working in Azure DevOps developing applications targeting any platform using any language.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 9,116円 |
 What is Reiki Hands on Healing With Energy A Guide to Self-Healing and Spiritual Cleansing Through Reiki Training【電子書籍】[ Theresa Carver ] 楽天Kobo電子書籍ストア | ＜p＞What is Reiki Hands on Healing With Energy＜/p＞ ＜p＞Reiki: What is Reiki Healing? Learn Reiki, Gain Emotional Healing and Chakra Healing with Reiki Therapy and Reiki Meditation, the Benefits of Reiki Healing Touch Through Healing Hands, A Guide to Self-Healing and Spiritual Cleansing Through Reiki Training＜/p＞ ＜p＞Reiki is a Japanese type of spiritual practice also used for stress reduction and relaxation. It is a technique that also helps promote healing either for self or for other people. It is characterized as a practice of "laying of hands".＜/p＞ ＜p＞The healing powers of the technique are based on the idea that there is an unseen "life force energy" that flows through each person. This life force is said to be the reason why people are alive. When one's life force energy is low, then people are likely to get sick or feel weak. If the life force is high, people fell healthy and happy.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 644円 |
 Learn SQL using MySQL in One Day and Learn It Well SQL for beginners with Hands-on Project【電子書籍】[ Jamie Chan ] 楽天Kobo電子書籍ストア | ＜p＞＜b＞Master SQL and unlock the power of database management. From basics to advanced queries, this book guides you through practical exercises to efficiently manage data.＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Step-by-step guidance from basic to advanced SQL techniques＜/li＞＜li＞Comprehensive coverage of MySQL, a leading database management system＜/li＞＜li＞Practical exercises with solutions to reinforce learning＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Learn SQL (using MySQL) in One Day and Learn It Well is the ultimate guide for beginners aiming to grasp the complexities of SQL through hands-on learning. Starting with an introduction to the essence of databases, this book methodically advances through defining and manipulating tables, mastering data insertion, updates, deletions, and executing sophisticated data selection techniques across its comprehensive chapters. It further explores the creation and utility of views, the implementation of triggers to automate database responses, and the intricacies of variables, stored routines, control flow tools, and cursors, culminating in a capstone project that brings all concepts together. Culminating in a project , this book offers a unique opportunity to apply all the learned concepts in a practical, real-world scenario, reinforcing the skills and knowledge acquired throughout the chapters. The appendices provide additional resources including table definitions for practical exercises modeled on real-world scenarios. Embark on a learning journey that transitions you from novice to proficient in managing and querying databases with MySQL, empowering you with the skills to tackle real-world data challenges.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Understand the fundamental concepts and architecture of databases＜/li＞＜li＞Define and design efficient database tables to store data logically＜/li＞＜li＞Utilize advanced selection techniques to manipulate & analyze data＜/li＞＜li＞Create views to simplify complex queries and enhance accessibility＜/li＞＜li＞Implement triggers to automate database operations＜/li＞＜li＞Complete a hands-on project to apply skills in a practical scenario＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is ideal for individuals with no prior experience in SQL or database management. It is perfect for those looking to acquire a strong foundational understanding of SQL using MySQL. Pre-requisites include basic computer literacy and an eagerness to learn data management techniques.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 1,033円 |
 Hands-On Agile Software Development with JIRA Design and manage software projects using the Agile methodology【電子書籍】[ David Harned ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Plan, track, and release great software＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Learn to create reports and dashboard for effective project management＜/li＞ ＜li＞Implement your development strategy in JIRA.＜/li＞ ＜li＞Practices to help you manage the issues in the development team＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞As teams scale in size, project management can get very complicated. One of the best tools to deal with this kind of problem is JIRA.＜/p＞ ＜p＞This book will start by organizing your project requirements and the principles of Agile development to get you started. You will then be introduced to set up a JIRA account and the JIRA ecosystem to help you implement a dashboard for your team's work and issues. You will learn how to manage any issues and bugs that might emerge in the development stage. Going ahead, the book will help you build reports and use them to plan the releases based on the study of the reports. Towards the end, you will come across working with the gathered data and create a dashboard that helps you track the project's development.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Create your first project (and manage existing projects) in JIRA＜/li＞ ＜li＞Manage your board view and backlogs in JIRA＜/li＞ ＜li＞Run a Scrum Sprint project in JIRA＜/li＞ ＜li＞Create reports (including topic-based reports)＜/li＞ ＜li＞Forecast using versions＜/li＞ ＜li＞Search for issues with JIRA Query Language (JQL)＜/li＞ ＜li＞Execute bulk changes to issues＜/li＞ ＜li＞Create custom filters, dashboards, and widgets＜/li＞ ＜li＞Create epics, stories, bugs, and tasks＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is for administrators who wants to apply the Agile approach to managing the issues, bugs, and releases in their software development projects using JIRA.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 3,288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 |
 Hands-On Unity 2021 Game Development Create, customize, and optimize your own professional games from scratch with Unity 2021, 2nd Edition【電子書籍】[ Nicolas Alejandro Borromeo ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Achieve mesmerizing game experiences using the latest Unity 2021 features by following a practical approach to building professional games＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Unleash the capabilities of C# scripting to create UIs, graphics, game AI agents and more＜/li＞ ＜li＞Explore Unity's latest tools, including Universal Render Pipeline, Shader Graph, UI Toolkit, Visual Scripting, and VFX graph, to enhance graphics and animation＜/li＞ ＜li＞Build an AR experience using Unity's AR Foundation＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Learning how to use Unity is the quickest way to creating a full game, but that's not all you can do with this simple, yet comprehensive suite of video game development tools ? Unity is just as useful for creating AR/VR experiences, complex simulations, real-time realistic rendering, films, and practical games for training and education.＜/p＞ ＜p＞Hands-On Unity 2021 Game Development outlines a practical journey to creating your first full game from the ground up, building it step-by-step and applying your knowledge as you progress.＜/p＞ ＜p＞Complete with hands-on tutorials and projects, this easy-to-follow guide will teach you how to develop the game using several Unity tools. As you advance, you will learn how to use the Unity engine, create simple scripts using C#, integrate graphics, sound, and animations, and manipulate physics to create interesting mechanics for your game. You'll be able to apply all the knowledge that you gain to a real-world game.＜/p＞ ＜p＞Later chapters will show you how to code a simple AI agent to challenge the user and use profiling tools to ensure that the code runs efficiently. Finally, you'll work with Unity's AR tools to create AR experiences for 3D apps and games.＜/p＞ ＜p＞By the end of this Unity book, you will have created a complete game and built a solid foundation in using a wide variety of Unity tools.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Explore both C# and Visual Scripting tools to customize various aspects of a game, such as physics, gameplay, and the UI＜/li＞ ＜li＞Program rich shaders and effects using Unity's new Shader Graph and Universal Render Pipeline＜/li＞ ＜li＞Implement postprocessing to improve graphics quality with full-screen effects＜/li＞ ＜li＞Create rich particle systems for your Unity games from scratch using VFX Graph and Shuriken＜/li＞ ＜li＞Add animations to your game using the Animator, Cinemachine, and Timeline＜/li＞ ＜li＞Use the brand new UI Toolkit package to create user interfaces＜/li＞ ＜li＞Implement game AI to control character behavior＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is best suited for game developers looking to upgrade their knowledge and those who want to migrate their existing skills to the Unity game engine. Those with prior Unity knowledge will also benefit from the chapters exploring the latest features. While you'll still able to follow along if you don't have any programming experience, knowing the fundamentals of C# programming will help you get the most out of this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 4,868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 |
 Data Structures and Algorithms in Python (2025) Learn Data Structures & Algorithms (Python) in One Day and Learn It Well. Data Structures & Algorithms for Beginners with Hands-on Project【電子書籍】[ Michael Goodrich ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Unveiling the Essence of Data Structures and Algorithms: Your Path to Software Excellence!＜/strong＞＜/p＞ ＜p＞Are you ready to unravel the complexity of algorithms with ease? Look no further ? we've crafted the ultimate guide to demystify this intricate topic. Algorithms are the backbone of software programs, orchestrating data structure manipulations. Prepare for an enlightening journey filled with clear examples and hands-on workshops, all within an integrated development environment.＜/p＞ ＜p＞＜strong＞〓 **Mastering Data Structures & Algorithms: The Python Way** 〓＜/strong＞＜/p＞ ＜p＞＜strong＞〓 **Bridging the Gap Between Complexity and Comprehension** 〓＜/strong＞＜/p＞ ＜p＞Embark on your software development odyssey with an Introduction to Data Structures and Algorithms Made Easy in Python ? one of the most sought-after programming languages. Harness the extraordinary speed and precision of computers for data storage and processing. Efficient data organization and retrieval, coupled with swift and accurate data processing, form the bedrock of success.＜/p＞ ＜p＞＜strong＞〓 **Highlighting Our Approach** 〓＜/strong＞＜/p＞ ＜p＞＜strong＞〓 **Crystal-Clear Data Structures & Algorithms Illustrations** 〓＜/strong＞＜/p＞ ＜p＞Navigate the realm of data structures that dictate data organization and memory storage during program execution. It's important to distinguish persistent storage (like relational tables on disk) from these in-memory structures.＜/p＞ ＜p＞＜strong＞〓 **Advancing with Python and Algorithms** 〓＜/strong＞＜/p＞ ＜p＞Algorithms, those step-by-step guides to data processing, depend on cleverly woven data structures. In this book, we dive deep into these computer science pillars using the power of Python programming.＜/p＞ ＜p＞＜strong＞〓 **Unveiling What Lies Ahead** 〓＜/strong＞＜/p＞ ＜p＞Inside, you'll discover:＜/p＞ ＜p＞- A comprehensive introduction to the realm of data structures and algorithms.＜br /＞ - Seamless environment setup to ensure a smooth journey.＜br /＞ - Mastery over arrays, lists, and maps.＜br /＞ - Navigating the terrain of dictionaries and hashes.＜br /＞ - Commanding sorting techniques for optimal data arrangement.＜br /＞ - Strategic searching methods to swiftly retrieve information.＜br /＞ - Unleashing the potential of the binary tree structure.＜br /＞ - Designs of algorithms that underpin problem-solving.＜br /＞ - And much, much more, waiting for you to explore!＜/p＞ ＜p＞＜strong＞〓 **Embark on Your Software Mastery Odyssey Today!** 〓＜/strong＞＜/p＞ ＜p＞Are you ready to delve into the intricate world of data structures and algorithms? Your gateway to software excellence awaits ? seize the opportunity now.＜/p＞ ＜p＞＜strong＞〓 **Secure Your Data Structures & Algorithms Copy Today!** 〓＜/strong＞＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 4,837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。 | 4,659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。 | 3,973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 |
 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。 | 8,879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 |
 Hands-On Graph Analytics with Neo4j Perform graph processing and visualization techniques using connected data across your enterprise【電子書籍】[ Estelle Scifo ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Discover how to use Neo4j to identify relationships within complex and large graph datasets using graph modeling, graph algorithms, and machine learning＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Get up and running with graph analytics with the help of real-world examples＜/li＞ ＜li＞Explore various use cases such as fraud detection, graph-based search, and recommendation systems＜/li＞ ＜li＞Get to grips with the Graph Data Science library with the help of examples, and use Neo4j in the cloud for effective application scaling＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Neo4j is a graph database that includes plugins to run complex graph algorithms.＜/p＞ ＜p＞The book starts with an introduction to the basics of graph analytics, the Cypher query language, and graph architecture components, and helps you to understand why enterprises have started to adopt graph analytics within their organizations. You'll find out how to implement Neo4j algorithms and techniques and explore various graph analytics methods to reveal complex relationships in your data. You'll be able to implement graph analytics catering to different domains such as fraud detection, graph-based search, recommendation systems, social networking, and data management. You'll also learn how to store data in graph databases and extract valuable insights from it. As you become well-versed with the techniques, you'll discover graph machine learning in order to address simple to complex challenges using Neo4j. You will also understand how to use graph data in a machine learning model in order to make predictions based on your data. Finally, you'll get to grips with structuring a web application for production using Neo4j.＜/p＞ ＜p＞By the end of this book, you'll not only be able to harness the power of graphs to handle a broad range of problem areas, but you'll also have learned how to use Neo4j efficiently to identify complex relationships in your data.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Become well-versed with Neo4j graph database building blocks, nodes, and relationships＜/li＞ ＜li＞Discover how to create, update, and delete nodes and relationships using Cypher querying＜/li＞ ＜li＞Use graphs to improve web search and recommendations＜/li＞ ＜li＞Understand graph algorithms such as pathfinding, spatial search, centrality, and community detection＜/li＞ ＜li＞Find out different steps to integrate graphs in a normal machine learning pipeline＜/li＞ ＜li＞Formulate a link prediction problem in the context of machine learning＜/li＞ ＜li＞Implement graph embedding algorithms such as DeepWalk, and use them in Neo4j graphs＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is for data analysts, business analysts, graph analysts, and database developers looking to store and process graph data to reveal key data insights. This book will also appeal to data scientists who want to build intelligent graph applications catering to different domains. Some experience with Neo4j is required.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 4,659円 |
 Hands-On Functional Programming with TypeScript Explore functional and reactive programming to create robust and testable TypeScript applications【電子書籍】[ Remo H. Jansen ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Discover the power of functional programming, lazy evaluation, monads, concurrency, and immutability to create succinct and expressive implementations＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Get a solid understanding of how to apply functional programming concepts in TypeScript＜/li＞ ＜li＞Explore TypeScript runtime features such as event loop, closures, and Prototypes＜/li＞ ＜li＞Gain deeper knowledge on the pros and cons of TypeScript＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Functional programming is a powerful programming paradigm that can help you to write better code. However, learning functional programming can be complicated, and the existing literature is often too complex for beginners. This book is an approachable introduction to functional programming and reactive programming with TypeScript for readers without previous experience in functional programming with JavaScript, TypeScript , or any other programming language.＜/p＞ ＜p＞The book will help you understand the pros, cons, and core principles of functional programming in TypeScript. It will explain higher order functions, referential transparency, functional composition, and monads with the help of effective code examples. Using TypeScript as a functional programming language, you'll also be able to brush up on your knowledge of applying functional programming techniques, including currying, laziness, and immutability, to real-world scenarios.＜/p＞ ＜p＞By the end of this book, you will be confident when it comes to using core functional and reactive programming techniques to help you build effective applications with TypeScript.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Understand the pros and cons of functional programming＜/li＞ ＜li＞Delve into the principles, patterns, and best practices of functional and reactive programming＜/li＞ ＜li＞Use lazy evaluation to improve the performance of applications＜/li＞ ＜li＞Explore functional optics with Ramda＜/li＞ ＜li＞Gain insights into category theory functional data structures such as Functors and Monads＜/li＞ ＜li＞Use functions as values, so that they can be passed as arguments to other functions＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is designed for readers with no prior experience of functional programming with JavaScript, TypeScript or any other programming language. Some familiarity with TypeScript and web development is a must to grasp the concepts in the book easily.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 3,562円 |
 Web Development with Julia and Genie A hands-on guide to high-performance server-side web development with the Julia programming language【電子書籍】[ Ivo Balbaert ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Get a practical overview of web development in Julia and learn how to build MVC applications with a REST API, and an interactive data dashboard using the Genie web framework＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞A tutorial on web development from Julia expert, Ivo Balbaert and the creator of the Genie framework, Adrian Salceanu＜/li＞ ＜li＞A step-by-step approach to building a complete web app with the Genie framework＜/li＞ ＜li＞Develop secure and fast web apps using server-side development on Julia＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Julia's high-performance and scalability characteristics and its extensive number of packages for visualizing data make it an excellent fit for developing web apps, web services, and web dashboards. The two parts of this book provide complete coverage to build your skills in web development.＜/p＞ ＜p＞First, you'll refresh your knowledge of the main concepts in Julia that will further be used in web development. Then, you'll use Julia's standard web packages and examine how the building blocks of the web such as TCP-IP, web sockets, HTTP protocol, and so on are implemented in Julia's standard library. Each topic is discussed and developed into code that you can apply in new projects, from static websites to dashboards. You'll also understand how to choose the right Julia framework for a project. The second part of the book talks about the Genie framework. You'll learn how to build a traditional to do app following the MVC design pattern. Next, you'll add a REST API to this project, including testing and documentation. Later, you'll explore the various ways of deploying an app in production, including authentication functionality. Finally, you'll work on an interactive data dashboard, making various chart types and filters.＜/p＞ ＜p＞By the end of this book, you'll be able to build interactive web solutions on a large scale with a Julia-based web framework.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Understand how to make a web server with HTTP.jl and work with JSON data over the web＜/li＞ ＜li＞Discover how to build a static website with the Franklin framework＜/li＞ ＜li＞Explore Julia web development frameworks and work with them＜/li＞ ＜li＞Uncover the Julia infrastructure for development, testing, package management, and deployment＜/li＞ ＜li＞Develop an MVC web app with the Genie framework＜/li＞ ＜li＞Understand how to add a REST API to a web app＜/li＞ ＜li＞Create an interactive data dashboard with charts and filters＜/li＞ ＜li＞Test, document, and deploy maintainable web applications using Julia＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is for beginner to intermediate-level Julia programmers who want to enhance their skills in designing and developing large-scale web applications. The book helps you adopt Genie without any prior experience with the framework. Julia programming experience and a beginner-level understanding of web development concepts are required.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 4,582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 |
 Keystone Species: Meet the Animals Key to Ecosystem Health and Biodiversity with Hands-On Science Ac KEYSTONE SPECIES （Build It Yourself） [ Laura Perdew ] 楽天ブックス | KEYSTONE SPECIES Build It Yourself Laura Perdew Micah Rauch NOMAD PR2024 Paperback English ISBN：9781647411237 洋書 Books for kids（児童書） Juvenile Nonfiction | 3,168円 |
 Hands-On Data Structures and Algorithms with Python Store, manipulate, and access data effectively and boost the performance of your applications, 3rd Edition【電子書籍】[ Dr. Basant Agarwal ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Understand how implementing different data structures and algorithms intelligently can make your Python code and applications more maintainable and efficient＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Explore functional and reactive implementations of traditional and advanced data structures＜/li＞ ＜li＞Apply a diverse range of algorithms in your Python code＜/li＞ ＜li＞Implement the skills you have learned to maximize the performance of your applications＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Choosing the right data structure is pivotal to optimizing the performance and scalability of applications. This new edition of Hands-On Data Structures and Algorithms with Python will expand your understanding of key structures, including stacks, queues, and lists, and also show you how to apply priority queues and heaps in applications. You'll learn how to analyze and compare Python algorithms, and understand which algorithms should be used for a problem based on running time and computational complexity. You will also become confident organizing your code in a manageable, consistent, and scalable way, which will boost your productivity as a Python developer.＜/p＞ ＜p＞By the end of this Python book, you'll be able to manipulate the most important data structures and algorithms to more efficiently store, organize, and access data in your applications.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Understand common data structures and algorithms using examples, diagrams, and exercises＜/li＞ ＜li＞Explore how more complex structures, such as priority queues and heaps, can benefit your code＜/li＞ ＜li＞Implement searching, sorting, and selection algorithms on number and string sequences＜/li＞ ＜li＞Become confident with key string-matching algorithms＜/li＞ ＜li＞Understand algorithmic paradigms and apply dynamic programming techniques＜/li＞ ＜li＞Use asymptotic notation to analyze algorithm performance with regard to time and space complexities＜/li＞ ＜li＞Write powerful, robust code using the latest features of Python＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is for developers and programmers who are interested in learning about data structures and algorithms in Python to write complex, flexible programs. Basic Python programming knowledge is expected.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 5,727円 |
 Hands-On Geospatial Analysis with R and QGIS A beginner’s guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2【電子書籍】[ Shammunul Islam ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Practical examples with real-world projects in GIS, Remote sensing, Geospatial data management and Analysis using the R programming language＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Understand the basics of R and QGIS to work with GIS and remote sensing data＜/li＞ ＜li＞Learn to manage, manipulate, and analyze spatial data using R and QGIS＜/li＞ ＜li＞Apply machine learning algorithms to geospatial data using R and QGIS＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Managing spatial data has always been challenging and it's getting more complex as the size of data increases. Spatial data is actually big data and you need different tools and techniques to work your way around to model and create different workflows. R and QGIS have powerful features that can make this job easier.＜/p＞ ＜p＞This book is your companion for applying machine learning algorithms on GIS and remote sensing data. You’ll start by gaining an understanding of the nature of spatial data and installing R and QGIS. Then, you’ll learn how to use different R packages to import, export, and visualize data, before doing the same in QGIS. Screenshots are included to ease your understanding.＜/p＞ ＜p＞Moving on, you’ll learn about different aspects of managing and analyzing spatial data, before diving into advanced topics. You’ll create powerful data visualizations using ggplot2, ggmap, raster, and other packages of R. You’ll learn how to use QGIS 3.2.2 to visualize and manage (create, edit, and format) spatial data. Different types of spatial analysis are also covered using R. Finally, you’ll work with landslide data from Bangladesh to create a landslide susceptibility map using different machine learning algorithms.＜/p＞ ＜p＞By reading this book, you’ll transition from being a beginner to an intermediate user of GIS and remote sensing data in no time.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Install R and QGIS＜/li＞ ＜li＞Get familiar with the basics of R programming and QGIS＜/li＞ ＜li＞Visualize quantitative and qualitative data to create maps＜/li＞ ＜li＞Find out the basics of raster data and how to use them in R and QGIS＜/li＞ ＜li＞Perform geoprocessing tasks and automate them using the graphical modeler of QGIS＜/li＞ ＜li＞Apply different machine learning algorithms on satellite data for landslide susceptibility mapping and prediction＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is great for geographers, environmental scientists, statisticians, and every professional who deals with spatial data. If you want to learn how to handle GIS and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful but is not necessary.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 5,480円 |