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| 商品 | 説明 | 価格 |
|---|---|---|
 Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow【電子書籍】[ Aur?lien G?ron ] 楽天Kobo電子書籍ストア | ＜p＞Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.＜/p＞ ＜p＞With this updated third edition, author Aur?lien G?ron explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started.＜/p＞ ＜ul＞ ＜li＞Use Scikit-learn to track an example ML project end to end＜/li＞ ＜li＞Explore several models, including support vector machines, decision trees, random forests, and ensemble methods＜/li＞ ＜li＞Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection＜/li＞ ＜li＞Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, autoencoders, diffusion models, and transformers＜/li＞ ＜li＞Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning＜/li＞ ＜/ul＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 6,151円 |
 Hands-On AI Trading with Python, QuantConnect, and AWS【電子書籍】[ Jiri Pik ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Master the art of AI-driven algorithmic trading strategies through hands-on examples, in-depth insights, and step-by-step guidance＜/strong＞＜/p＞ ＜p＞＜em＞Hands-On AI Trading with Python, QuantConnect, and AWS＜/em＞ explores real-world applications of AI technologies in algorithmic trading. It provides practical examples with complete code, allowing readers to understand and expand their AI toolbelt.＜/p＞ ＜p＞Unlike other books, this one focuses on designing actual trading strategies rather than setting up backtesting infrastructure. It utilizes QuantConnect, providing access to key market data from Algoseek and others. Examples are available on the book's GitHub repository, written in Python, and include performance tearsheets or research Jupyter notebooks.＜/p＞ ＜p＞The book starts with an overview of financial trading and QuantConnect's platform, organized by AI technology used:＜/p＞ ＜ul＞ ＜li＞Examples include constructing portfolios with regression models, predicting dividend yields, and safeguarding against market volatility using machine learning packages like SKLearn and MLFinLab.＜/li＞ ＜li＞Use principal component analysis to reduce model features, identify pairs for trading, and run statistical arbitrage with packages like LightGBM.＜/li＞ ＜li＞Predict market volatility regimes and allocate funds accordingly.＜/li＞ ＜li＞Predict daily returns of tech stocks using classifiers.＜/li＞ ＜li＞Forecast Forex pairs' future prices using Support Vector Machines and wavelets.＜/li＞ ＜li＞Predict trading day momentum or reversion risk using TensorFlow and temporal CNNs.＜/li＞ ＜li＞Apply large language models (LLMs) for stock research analysis, including prompt engineering and building RAG applications.＜/li＞ ＜li＞Perform sentiment analysis on real-time news feeds and train time-series forecasting models for portfolio optimization.＜/li＞ ＜li＞Better Hedging by Reinforcement Learning and AI: Implement reinforcement learning models for hedging options and derivatives with PyTorch.＜/li＞ ＜li＞AI for Risk Management and Optimization: Use corrective AI and conditional portfolio optimization techniques for risk management and capital allocation.＜/li＞ ＜/ul＞ ＜p＞Written by domain experts, including Jiri Pik, Ernest Chan, Philip Sun, Vivek Singh, and Jared Broad, this book is essential for hedge fund professionals, traders, asset managers, and finance students. Integrate AI into your next algorithmic trading strategy with ＜em＞Hands-On AI Trading with Python, QuantConnect, and AWS＜/em＞.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 5,046円 |
 In the palms of your hands Paintings，poems，and essay [ 星野富弘 ] 楽天ブックス | Paintings，poems，and essay 星野富弘 油井義昭 偕成社イン ザ パームズ オブ ユア ハンズ ホシノ,トミヒロ ユイ,ヨシアキ 発行年月：2000年05月 ページ数：95p サイズ：単行本 ISBN：9784030190702 本文：英文 油井芙美子（ユイフミコ） Born in Tokyo in 1943．Graduated from Rikkyo University（B．A．）and Wheaton Collge Graduate School（M．A．）．She is pastor’s wife at Nagatsuda Christ Church（本データはこの書籍が刊行された当時に掲載されていたものです） 1 Spring（On a Mountain Path（1988）／There was a Child（1998）／The Only One Thing（1989） ほか）／2 Summer（A Cloudy Sky（1997）／The One Who Declares Himself a Man（1987）／Hydrangea（1989） ほか）／3 Fall and Winter（Sunflower Seed（1990）／Akebia（1988）／Late Fall（1995） ほか） 本 ホビー・スポーツ・美術 美術 イラスト | 1,980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。 | 5,534円 |
 100 Easy STEAM Activities Awesome Hands-On Projects for Aspiring Artists and Engineers【電子書籍】[ Andrea Scalzo Yi ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Exciting Activities for Young Artists, Scientists and Engineers＜/strong＞＜/p＞ ＜p＞Spark your curiosity with these fun games and creative projects to learn early concepts in Science, Technology, Engineering, Art and Math. These incredible activities from Andrea Scalzo Yi, creator of Raising Dragons, make learning such a blast, you’ll forget you’re doing it!＜/p＞ ＜p＞Feeling bored on a rainy day? Now you can pick a project, gather your supplies and let the magic happen. Try far-out science experiments like making Shaving Cream Rain Clouds or Lava Lamps. Make math-time snack-time with delicious Cream-Filled Cookie Fractions. Unlock boundless creativity with art projects like Marbled Paper or Monster Bugs. With seasonal activities like the Pool Noodle Obstacle Course and Erupting Pumpkins, there are games to love year-round.＜/p＞ ＜p＞Have fun learning early ideas in chemistry, physics, computing, color-mixing and so much more, all while problem-solving and working together with friends. With projects that use common household items and require little adult supervision, ＜em＞100 Easy STEAM Activities＜/em＞ is the ultimate resource for an amazing, creative day of learning.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 1,823円 |
 スキルズ SKLZ サッカー フットボール シュート スポーツ トレーニングギア 練習 トレーナー フィットネス 自主練 部活 自宅トレーニング おうち時間 筋トレ SKLZ Star-Kick Hands-Free Adjustable Solo Soccer Trainer - Fits Ball Sizes 3, 4, and 5 i-selection | スキルズ SKLZ サッカー フットボール シュート スポーツ トレーニングギア 練習 トレーナー フィットネス 自主練 部活 自宅トレーニング おうち時間 筋トレ SKLZ Star-Kick Hands-Free Adjustable Solo Soccer Trainer - Fits Ball Sizes 3, 4, and 5 人気の商品はこちら ■海外より直輸入品となりますので、外箱に小傷・破れ等がある場合がございます。 本体には影響ございませんので、予めご容赦ください。 ■携帯からの注文の際【納期目安】が表示されない場合もございます。 納期の表示が確認出来ない商品に関しましては、お手数ですが、PCページより【納期目安】の確認をお願いします。 また、携帯からのご注文のお客様は携帯電話の受信設定（フィルター）を必ずご確認下さいますようお願いいたします。スキルズ SKLZ サッカー フットボール シュート スポーツ トレーニングギア 練習 トレーナー フィットネス 自主練 部活 自宅トレーニング おうち時間 筋トレ SKLZ Star-Kick Hands-Free Adjustable Solo Soccer Trainer - Fits Ball Sizes 3, 4, and 5 メーカー 商品名 SKLZ Star-Kick Hands-Free Adjustable Solo Soccer Trainer - Fits Ball Sizes 3, 4, and 5 パッケージサイズ(cm) × × 重量(g) 0 詳細 ◆ 様々なギフトシーンにぴったりの商品を豊富に取り揃えております ◆プレゼント ギフト クリスマス 母の日 父の日 記念日 誕生日 お誕生日 誕生日プレゼント 敬老の日 記念品 結婚記念日 メモリアルギフト お祝い 出産祝い 結婚式 結婚祝い 御祝 披露宴 引き出物 引出物 ウェディングギフト ブライダルギフト 景品 賞品 コンペ景品 ゴルフコンペ 粗品 お中元 御中元 お歳暮 御歳暮 残暑見舞い 引越し 引っ越し祝い 引越し祝い 贈答品 入園祝い 入学祝い 卒業祝い 成人式 就職祝い 昇進祝い 定年退職記念 還暦祝い 卒業記念品 内祝 お返し お礼 御礼 お祝い返し | 10,490円 |
 スキルズ SKLZ サッカー フットボール シュート スポーツ トレーニングギア 練習 トレーナー フィットネス 自主練 部活 自宅トレーニング おうち時間 筋トレ SKLZ Star-Kick Hands-Free Adjustable Solo Soccer Trainer - Fits Ball Sizes 3, 4, and 5 i-selection | スキルズ SKLZ サッカー フットボール シュート スポーツ トレーニングギア 練習 トレーナー フィットネス 自主練 部活 自宅トレーニング おうち時間 筋トレ SKLZ Star-Kick Hands-Free Adjustable Solo Soccer Trainer - Fits Ball Sizes 3, 4, and 5 人気の商品はこちら ■海外より直輸入品となりますので、外箱に小傷・破れ等がある場合がございます。 本体には影響ございませんので、予めご容赦ください。 ■携帯からの注文の際【納期目安】が表示されない場合もございます。 納期の表示が確認出来ない商品に関しましては、お手数ですが、PCページより【納期目安】の確認をお願いします。 また、携帯からのご注文のお客様は携帯電話の受信設定（フィルター）を必ずご確認下さいますようお願いいたします。スキルズ SKLZ サッカー フットボール シュート スポーツ トレーニングギア 練習 トレーナー フィットネス 自主練 部活 自宅トレーニング おうち時間 筋トレ SKLZ Star-Kick Hands-Free Adjustable Solo Soccer Trainer - Fits Ball Sizes 3, 4, and 5 メーカー 商品名 SKLZ Star-Kick Hands-Free Adjustable Solo Soccer Trainer - Fits Ball Sizes 3, 4, and 5 パッケージサイズ(cm) × × 重量(g) 0 詳細 ◆ 様々なギフトシーンにぴったりの商品を豊富に取り揃えております ◆プレゼント ギフト クリスマス 母の日 父の日 記念日 誕生日 お誕生日 誕生日プレゼント 敬老の日 記念品 結婚記念日 メモリアルギフト お祝い 出産祝い 結婚式 結婚祝い 御祝 披露宴 引き出物 引出物 ウェディングギフト ブライダルギフト 景品 賞品 コンペ景品 ゴルフコンペ 粗品 お中元 御中元 お歳暮 御歳暮 残暑見舞い 引越し 引っ越し祝い 引越し祝い 贈答品 入園祝い 入学祝い 卒業祝い 成人式 就職祝い 昇進祝い 定年退職記念 還暦祝い 卒業記念品 内祝 お返し お礼 御礼 お祝い返し | 10,760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 |
 Hands-On Data Structures and Algorithms with Rust Learn programming techniques to build effective, maintainable, and readable code in Rust 2018【電子書籍】[ Claus Matzinger ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Design and implement professional level programs by exploring modern data structures and algorithms in Rust.＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Use data structures such as arrays, stacks, trees, lists and graphs with real-world examples＜/li＞ ＜li＞Learn the functional and reactive implementations of the traditional data structures＜/li＞ ＜li＞Explore illustrations to present data structures and algorithms, as well as their analysis, in a clear, visual manner.＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Rust has come a long way and is now utilized in several contexts. Its key strengths are its software infrastructure and resource-constrained applications, including desktop applications, servers, and performance-critical applications, not forgetting its importance in systems' programming. This book will be your guide as it takes you through implementing classic data structures and algorithms in Rust, helping you to get up and running as a confident Rust programmer.＜/p＞ ＜p＞The book begins with an introduction to Rust data structures and algorithms, while also covering essential language constructs. You will learn how to store data using linked lists, arrays, stacks, and queues. You will also learn how to implement sorting and searching algorithms. You will learn how to attain high performance by implementing algorithms to string data types and implement hash structures in algorithm design. The book will examine algorithm analysis, including Brute Force algorithms, Greedy algorithms, Divide and Conquer algorithms, Dynamic Programming, and Backtracking.＜/p＞ ＜p＞By the end of the book, you will have learned how to build components that are easy to understand, debug, and use in different applications.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Design and implement complex data structures in Rust＜/li＞ ＜li＞Analyze, implement, and improve searching and sorting algorithms in Rust＜/li＞ ＜li＞Create and use well-tested and reusable components with Rust＜/li＞ ＜li＞Understand the basics of multithreaded programming and advanced algorithm design＜/li＞ ＜li＞Become familiar with application profiling based on benchmarking and testing＜/li＞ ＜li＞Explore the borrowing complexity of implementing algorithms＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is for developers seeking to use Rust solutions in a practical/professional setting; who wants to learn essential Data Structures and Algorithms in Rust. It is for developers with basic Rust language knowledge, some experience in other programming languages is required.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 4,012円 |
 Hands-On Design Patterns with React Native Proven techniques and patterns for efficient native mobile development with JavaScript【電子書籍】[ Mateusz Grzesiukiewicz ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Learn how to write cross platform React Native code by using effective design patterns in the JavaScript world. Get to know industry standard patterns as well as situational patterns. Decouple your application with these set of “Idea patterns”.＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Mobile development in React Native should be done in a reusable way.＜/li＞ ＜li＞Learn how to build scalable applications using JavaScript patterns that are battle tested.＜/li＞ ＜li＞Try effective techniques on your own using over 80 standalone examples.＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞React Native helps developers reuse code across different mobile platforms like iOS and Android.＜/p＞ ＜p＞This book will show you effective design patterns in the React Native world and will make you ready for professional development in big teams.＜/p＞ ＜p＞The book will focus only on the patterns that are relevant to JavaScript, ECMAScript, React and React Native. However, you can successfully transfer a lot of the skills and techniques to other languages. I call them “Idea patterns”.＜/p＞ ＜p＞This book will start with the most standard development patterns in React like component building patterns, styling patterns in React Native and then extend these patterns to your mobile application using real world practical examples. Each chapter comes with full, separate source code of applications that you can build and run on your phone.＜/p＞ ＜p＞The book is also diving into architectural patterns. Especially how to adapt MVC to React environment. You will learn Flux architecture and how Redux is implementing it. Each approach will be presented with its pros and cons. You will learn how to work with external data sources using libraries like Redux thunk and Redux Saga.＜/p＞ ＜p＞The end goal is the ability to recognize the best solution for a given problem for your next mobile application.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Explore the design Patterns in React Native＜/li＞ ＜li＞Learn the best practices for React Native development＜/li＞ ＜li＞Explore common React patterns that are highly used within React Native development＜/li＞ ＜li＞Learn to decouple components and use dependency injection in your applications＜/li＞ ＜li＞Explore the best ways of fetching data from the backend systems＜/li＞ ＜li＞Learn the styling patterns and how to implement custom mobile designs＜/li＞ ＜li＞Explore the best ways to organize your application code in big codebases＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞The ideal target audience for this book are people eager to learn React Native design patterns who already know the basics of JavaScript. We can assume that the target audience already knows how to write Hello World in JavaScript and know what are the functions, recursive functions, JavaScript types and loops.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 4,428円 |
 Hands-On Explainable AI (XAI) with Python Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps【電子書籍】[ Denis Rothman ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Resolve the black box models in your AI applications to make them fair, trustworthy, and secure. Familiarize yourself with the basic principles and tools to deploy Explainable AI (XAI) into your apps and reporting interfaces.＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Learn explainable AI tools and techniques to process trustworthy AI results＜/li＞ ＜li＞Understand how to detect, handle, and avoid common issues with AI ethics and bias＜/li＞ ＜li＞Integrate fair AI into popular apps and reporting tools to deliver business value using Python and associated tools＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Effectively translating AI insights to business stakeholders requires careful planning, design, and visualization choices. Describing the problem, the model, and the relationships among variables and their findings are often subtle, surprising, and technically complex.＜/p＞ ＜p＞Hands-On Explainable AI (XAI) with Python will see you work with specific hands-on machine learning Python projects that are strategically arranged to enhance your grasp on AI results analysis. You will be building models, interpreting results with visualizations, and integrating XAI reporting tools and different applications.＜/p＞ ＜p＞You will build XAI solutions in Python, TensorFlow 2, Google Cloud's XAI platform, Google Colaboratory, and other frameworks to open up the black box of machine learning models. The book will introduce you to several open-source XAI tools for Python that can be used throughout the machine learning project life cycle.＜/p＞ ＜p＞You will learn how to explore machine learning model results, review key influencing variables and variable relationships, detect and handle bias and ethics issues, and integrate predictions using Python along with supporting the visualization of machine learning models into user explainable interfaces.＜/p＞ ＜p＞By the end of this AI book, you will possess an in-depth understanding of the core concepts of XAI.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Plan for XAI through the different stages of the machine learning life cycle＜/li＞ ＜li＞Estimate the strengths and weaknesses of popular open-source XAI applications＜/li＞ ＜li＞Examine how to detect and handle bias issues in machine learning data＜/li＞ ＜li＞Review ethics considerations and tools to address common problems in machine learning data＜/li＞ ＜li＞Share XAI design and visualization best practices＜/li＞ ＜li＞Integrate explainable AI results using Python models＜/li＞ ＜li＞Use XAI toolkits for Python in machine learning life cycles to solve business problems＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is not an introduction to Python programming or machine learning concepts. You must have some foundational knowledge and/or experience with machine learning libraries such as scikit-learn to make the most out of this book.＜/p＞ ＜p＞Some of the potential readers of this book include:＜/p＞ ＜ol＞ ＜li＞Professionals who already use Python for as data science, machine learning, research, and analysis＜/li＞ ＜li＞Data analysts and data scientists who want an introduction into explainable AI tools and techniques＜/li＞ ＜li＞AI Project managers who must face the contractual and legal obligations of AI Explainability for the acceptance phase of their applications＜/li＞ ＜/ol＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 5,119円 |
 Moomin's Lift-The-Flap Hide and Seek: With Big Flaps for Little Hands MOOMINS LIFT-THE-FLAP HIDE & S （Moomins） [ Tove Jansson ] 楽天ブックス | MOOMINS LIFTーTHEーFLAP HIDE & S Moomins Tove Jansson FARRAR STRAUSS & GIROUX2011 Hardcover English ISBN：9780374350512 洋書 Books for kids（児童書） Juvenile Fiction | 2,217円 |
 Hands-On AWS Penetration Testing with Kali Linux Set up a virtual lab and pentest major AWS services, including EC2, S3, Lambda, and CloudFormation【電子書籍】[ Karl Gilbert ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Identify tools and techniques to secure and perform a penetration test on an AWS infrastructure using Kali Linux＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Efficiently perform penetration testing techniques on your public cloud instances＜/li＞ ＜li＞Learn not only to cover loopholes but also to automate security monitoring and alerting within your cloud-based deployment pipelines＜/li＞ ＜li＞A step-by-step guide that will help you leverage the most widely used security platform to secure your AWS Cloud environment＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞The cloud is taking over the IT industry. Any organization housing a large amount of data or a large infrastructure has started moving cloud-ward ー and AWS rules the roost when it comes to cloud service providers, with its closest competitor having less than half of its market share. This highlights the importance of security on the cloud, especially on AWS. While a lot has been said (and written) about how cloud environments can be secured, performing external security assessments in the form of pentests on AWS is still seen as a dark art.＜/p＞ ＜p＞This book aims to help pentesters as well as seasoned system administrators with a hands-on approach to pentesting the various cloud services provided by Amazon through AWS using Kali Linux. To make things easier for novice pentesters, the book focuses on building a practice lab and refining penetration testing with Kali Linux on the cloud. This is helpful not only for beginners but also for pentesters who want to set up a pentesting environment in their private cloud, using Kali Linux to perform a white-box assessment of their own cloud resources. Besides this, there is a lot of in-depth coverage of the large variety of AWS services that are often overlooked during a pentest ー from serverless infrastructure to automated deployment pipelines.＜/p＞ ＜p＞By the end of this book, you will be able to identify possible vulnerable areas efficiently and secure your AWS cloud environment.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Familiarize yourself with and pentest the most common external-facing AWS services＜/li＞ ＜li＞Audit your own infrastructure and identify flaws, weaknesses, and loopholes＜/li＞ ＜li＞Demonstrate the process of lateral and vertical movement through a partially compromised AWS account＜/li＞ ＜li＞Maintain stealth and persistence within a compromised AWS account＜/li＞ ＜li＞Master a hands-on approach to pentesting＜/li＞ ＜li＞Discover a number of automated tools to ease the process of continuously assessing and improving the security stance of an AWS infrastructure＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞If you are a security analyst or a penetration tester and are interested in exploiting Cloud environments to reveal vulnerable areas and secure them, then this book is for you.＜/p＞ ＜p＞A basic understanding of penetration testing, cloud computing, and its security concepts is mandatory.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 4,704円 |
 Hands-On Microservices with Spring Boot and Spring Cloud Build and deploy Java microservices using Spring Cloud, Istio, and Kubernetes【電子書籍】[ Magnus Larsson ] 楽天Kobo電子書籍ストア | ＜p＞＜b＞Apply microservices patterns to build resilient and scalable distributed systems＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Understand the challenges of building large-scale microservice landscapes＜/li＞＜li＞Build cloud-native production-ready microservices with this comprehensive guide＜/li＞＜li＞Discover how to get the best out of Spring Cloud, Kubernetes, and Istio when used together＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Microservices architecture allows developers to build and maintain applications with ease, and enterprises are rapidly adopting it to build software using Spring Boot as their default framework. With this book, you’ll learn how to efficiently build and deploy microservices using Spring Boot. This microservices book will take you through tried and tested approaches to building distributed systems and implementing microservices architecture in your organization. Starting with a set of simple cooperating microservices developed using Spring Boot, you’ll learn how you can add functionalities such as persistence, make your microservices reactive, and describe their APIs using Swagger/OpenAPI. As you advance, you’ll understand how to add different services from Spring Cloud to your microservice system. The book also demonstrates how to deploy your microservices using Kubernetes and manage them with Istio for improved security and traffic management. Finally, you’ll explore centralized log management using the EFK stack and monitor microservices using Prometheus and Grafana. By the end of this book, you’ll be able to build microservices that are scalable and robust using Spring Boot and Spring Cloud.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Build reactive microservices using Spring Boot＜/li＞＜li＞Develop resilient and scalable microservices using Spring Cloud＜/li＞＜li＞Use OAuth 2.0/OIDC and Spring Security to protect public APIs＜/li＞＜li＞Implement Docker to bridge the gap between development, testing, and production＜/li＞＜li＞Deploy and manage microservices using Kubernetes＜/li＞＜li＞Apply Istio for improved security, observability, and traffic management＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for Java and Spring developers and architects who want to learn how to break up their existing monoliths into microservices and deploy them either on-premises or in the cloud using Kubernetes as a container orchestrator and Istio as a service Mesh. No familiarity with microservices architecture is required to get started with this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 5,166円 |
 Hands-On Machine Learning for Algorithmic Trading Design and implement investment strategies based on smart algorithms that learn from data using Python【電子書籍】[ Stefan Jansen ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Implement machine learning algorithms to build, train, and validate algorithmic models＜/li＞ ＜li＞Create your own algorithmic design process to apply probabilistic machine learning approaches to trading decisions＜/li＞ ＜li＞Develop neural networks for algorithmic trading to perform time series forecasting and smart analytics＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This book enables you to use a broad range of supervised and unsupervised algorithms to extract signals from a wide variety of data sources and create powerful investment strategies.＜/p＞ ＜p＞This book shows how to access market, fundamental, and alternative data via API or web scraping and offers a framework to evaluate alternative data. You'll practice the ML workflow from model design, loss metric definition, and parameter tuning to performance evaluation in a time series context. You will understand ML algorithms such as Bayesian and ensemble methods and manifold learning, and will know how to train and tune these models using pandas, statsmodels, sklearn, PyMC3, xgboost, lightgbm, and catboost. This book also teaches you how to extract features from text data using spaCy, classify news and assign sentiment scores, and to use gensim to model topics and learn word embeddings from financial reports. You will also build and evaluate neural networks, including RNNs and CNNs, using Keras and PyTorch to exploit unstructured data for sophisticated strategies.＜/p＞ ＜p＞Finally, you will apply transfer learning to satellite images to predict economic activity and use reinforcement learning to build agents that learn to trade in the OpenAI Gym.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Implement machine learning techniques to solve investment and trading problems＜/li＞ ＜li＞Leverage market, fundamental, and alternative data to research alpha factors＜/li＞ ＜li＞Design and fine-tune supervised, unsupervised, and reinforcement learning models＜/li＞ ＜li＞Optimize portfolio risk and performance using pandas, NumPy, and scikit-learn＜/li＞ ＜li＞Integrate machine learning models into a live trading strategy on Quantopian＜/li＞ ＜li＞Evaluate strategies using reliable backtesting methodologies for time series＜/li＞ ＜li＞Design and evaluate deep neural networks using Keras, PyTorch, and TensorFlow＜/li＞ ＜li＞Work with reinforcement learning for trading strategies in the OpenAI Gym＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞Hands-On Machine Learning for Algorithmic Trading is for data analysts, data scientists, and Python developers, as well as investment analysts and portfolio managers working within the finance and investment industry. If you want to perform efficient algorithmic trading by developing smart investigating strategies using machine learning algorithms, this is the book for you. Some understanding of Python and machine learning techniques 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。 | 5,811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。 | 5,119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 |
 【中古】 Then and Now featuring Four Hands and a Heart Volume One／ラリー・カールトン ブックオフ 楽天市場店 | ラリー・カールトン販売会社/発売会社：インディペンデント・レーベル(インディペンデント・レーベル)発売年月日：2012/07/21JAN：4909346005396 | 2,541円 |
 Moral Responsibility and the Problem of Many Hands【電子書籍】[ Ibo van de Poel ] 楽天Kobo電子書籍ストア | ＜p＞When many people are involved in an activity, it is often difficult, if not impossible, to pinpoint who is morally responsible for what, a phenomenon known as the ‘problem of many hands.’ This term is increasingly used to describe problems with attributing individual responsibility in collective settings in such diverse areas as public administration, corporate management, law and regulation, technological development and innovation, healthcare, and finance. This volume provides an in-depth philosophical analysis of this problem, examining the notion of moral responsibility and distinguishing between different normative meanings of responsibility, both backward-looking (accountability, blameworthiness, and liability) and forward-looking (obligation, virtue). Drawing on the relevant philosophical literature, the authors develop a coherent conceptualization of the problem of many hands, taking into account the relationship, and possible tension, between individual and collective responsibility. This systematic inquiry into the problem of many hands pertains to discussions about moral responsibility in a variety of applied settings.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 10,255円 |
 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。 | 5,950円 |
 ハンズ（HANDS） UVプロテクトスプレー 80g ハンズ（HANDS）楽天市場店 | 詳細説明UV対策をルーティーンに！スキンケア感覚で使えるおすすめ日焼け止め【タイプ別にご紹介】 ヒントマガジンはこちら＞＞バイヤーおすすめの日焼け止めを種類別に紹介！選び方や塗り方についても ヒントマガジンはこちら＞＞ーーーーーーーーーーーーーー使用部位：顔・からだ・髪SPF/PA値：SPF50+/PA++++落とし方：石けんで落とせます使用感/テクスチャー：スプレータイプポイント：しっとりなのにサラサラの仕上がりーーーーーーーーーーーーーー【特長】・優しさを追求したフリー処方。・せっけんでラクラク落とせる。・しっとりなのにさらさらの仕上がり。・SPF50＋／PA＋＋＋＋・家族みんなで使えます。・顔や髪の毛まで全身にマルチに使えるスプレータイプです。・マルチに使え、コンパクトなサイズは出先で大活躍です。【使用方法】（1）缶を横にして左右によく振ってから、お肌または髪から20cm前後離してムラがないようにスプレーしてください。（2）使用時には缶を立ててお使いください。（逆さにしてもご使用できます）広告文責：株式会社ハンズ 0120-992-344区分：化粧品販売元：株式会社ハンズ製造販売元：株式会社クレメント神奈川県秦野市鶴巻北二丁目5番8号製品のお問い合わせ：0463-71-5967成分：LPG、水、シクロペンタシロキサン、パルミチン酸エチルヘキシル、水添ポリイソブテン、メトキシケイヒ酸エチルヘキシル、ポリメチルシルセスキオキサン、ウメ果実エキス、カミツレ花エキス、ボタンエキス、オウゴン根エキス、ヒキオコシ葉／茎エキス、アーチチョーク葉エキス、フユボダイジュ花エキス、トコフェロール、オクテニルコハク酸デンプンAI、トリメチルシロキシケイ酸、オクトクリレン、ビスエチルヘキシルオキシフェノールメトキシフェニルトリアジン、ジステアルジモニウムヘクトライト、PEG−10ジメチコン、PEG／PPG−19／19ジメチコン、ジエチルアミノヒドロキシベンゾイル安息香酸ヘキシル、BG、エタノール、BHT、フェノキシエタノール商品仕様（スペック）内容量（約）：80g原産国：日本注意事項・お肌に合わないとき、お肌に異常があるときはご使用をお止めください。・お肌に異常が生じていないかよく注意してご使用ください。・使用中、赤み、かゆみ、はれ、刺激、色抜け（白斑等）や黒ずみ等の異常があらわれたときは、ただちに使用を中止し、皮膚科専門医等へご相談ください。そのまま使用を続けると症状が悪化する恐れがあります。・使用前に必ずパッチテストを行い、異常がない事を確認してください。・同じところに3秒以上噴射しないでください。・顔に使用するときは一度手のひらに出してから少量ずつのばしてください。・肌をタオルで拭いた後などは、必要に応じてつけなおしてください。・目に入らないようにご注意ください。万が一目に入った場合は水で十分に洗い流してください。・缶を横向きにして使用しないでください。ガスだけが出て中身が残り最後まで使えなくなる恐れがあります。・衣類にかからないようにご注意ください。洗濯の際は塩素系漂白剤のご使用はお止めください。・乳幼児の手の届かない所に保管してください。・直射日光や高温を避けて保管してください。・使用後は必ずしっかりとキャップを閉めてください。・捨てるときは、火気のない屋外で噴射音が消えるまでボタンを押し、ガスを抜き、市町村の廃棄方法に従い処分してください。SPF50＋／PA＋＋＋＋ | 1,080円 |
 【公式】Swatch スウォッチ TRAIN THE HANDS トレイン・ザ・ハンズ SS07B113G メンズ レディース 腕時計 クオーツ アナログ 3気圧防水 ブラック 大きめ スイスブランド おしゃれ ギフト プレゼント スウォッチ公式オンラインストア | TRAIN THE HANDS ブラックPVDコーティングが施されたこの超スリムなサンレイのステンレススチール製の時計は、サンレイ仕上げのシルバーカラーのオープンダイヤルにブラックとグレーのプリント、グレーのリングにはブラックのプリントが施されているのが特徴です。ブラックPVDコーティングが施されたサンレイのステンレススチール製の調節可能なブレスレットとバタフライバックルが、エレガントな外観を完璧にまとめ上げています。 ★ギフト対応ご希望の場合はお知らせください。スペシャルパッケージ/ギフト仕様パッケージの商品を除き、対応致します。 | 38,830円 |
 Hands-On High Performance Programming with Qt 5 Build cross-platform applications using concurrency, parallel programming, and memory management【電子書籍】[ Marek Krajewski ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Build efficient and fast Qt applications, target performance problems, and discover solutions to refine your code＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Build efficient and concurrent applications in Qt to create cross-platform applications＜/li＞ ＜li＞Identify performance bottlenecks and apply the correct algorithm to improve application performance＜/li＞ ＜li＞Delve into parallel programming and memory management to optimize your code＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Achieving efficient code through performance tuning is one of the key challenges faced by many programmers. This book looks at Qt programming from a performance perspective. You'll explore the performance problems encountered when using the Qt framework and means and ways to resolve them and optimize performance.＜/p＞ ＜p＞The book highlights performance improvements and new features released in Qt 5.9, Qt 5.11, and 5.12 (LTE). You'll master general computer performance best practices and tools, which can help you identify the reasons behind low performance, and the most common performance pitfalls experienced when using the Qt framework. In the following chapters, you'll explore multithreading and asynchronous programming with C++ and Qt and learn the importance and efficient use of data structures. You'll also get the opportunity to work through techniques such as memory management and design guidelines, which are essential to improve application performance. Comprehensive sections that cover all these concepts will prepare you for gaining hands-on experience of some of Qt's most exciting application fields - the mobile and embedded development domains.＜/p＞ ＜p＞By the end of this book, you'll be ready to build Qt applications that are more efficient, concurrent, and performance-oriented in nature＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Understand classic performance best practices＜/li＞ ＜li＞Get to grips with modern hardware architecture and its performance impact＜/li＞ ＜li＞Implement tools and procedures used in performance optimization＜/li＞ ＜li＞Grasp Qt-specific work techniques for graphical user interface (GUI) and platform programming＜/li＞ ＜li＞Make Transmission Control Protocol (TCP) and Hypertext Transfer Protocol (HTTP) performant and use the relevant Qt classes＜/li＞ ＜li＞Discover the improvements Qt 5.9 (and the upcoming versions) holds in store＜/li＞ ＜li＞Explore Qt's graphic engine architecture, strengths, and weaknesses＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is designed for Qt developers who wish to build highly performance applications for desktop and embedded devices. Programming Experience with C++ is required.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 4,704円 |
 Hands-On Value-at-Risk and Expected Shortfall A Practical Primer【電子書籍】[ Martin Auer ] 楽天Kobo電子書籍ストア | ＜p＞This book describes a maximally simple market risk model that is still practical and main risk measures like the value-at-risk and the expected shortfall. It outlines the model's (i) underlying math, (ii) daily operation, and (iii) implementation, while stripping away statistical overhead to keep the concepts accessible. The author selects and weighs the various model features, motivating the choices under real-world constraints, and addresses the evermore important handling of regulatory requirements. The book targets not only practitioners new to the field but also experienced market risk operators by suggesting useful data analysis procedures and implementation details. It furthermore addresses market risk consumers such as managers, traders, and compliance officers by making the model behavior intuitively transparent.＜/p＞ ＜p＞＜em＞A very useful guide to the theoretical and practical aspects of implementing and operating a risk-monitoring system for a mid-size financial institution. It sets a common body of knowledge to facilitate communication between risk managers, computer and investment specialists by bridging their diverse backgrounds.＜/em＞＜/p＞ ＜p＞＜strong＞Giovanni Barone-Adesi＜/strong＞ ー Professor, Universit? della Svizzera italiana＜/p＞ ＜p＞＜em＞This unassuming and insightful book starts from the basics and plainly brings the reader up to speed on both theory and implementation.＜/em＞＜/p＞ ＜p＞＜strong＞Shane Hegarty＜/strong＞ ー Director Trade Floor Risk Management, Scotiabank＜/p＞ ＜p＞Visit the book’s website at www.value-at-risk.com.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 6,928円 |
 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。 | 5,534円 |
 Practical Big Data Analytics Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R【電子書籍】[ Nataraj Dasgupta ] 楽天Kobo電子書籍ストア | ＜p＞Get command of your organizational Big Data using the power of data science and analytics About This Book ? A perfect companion to boost your Big Data storing, processing, analyzing skills to help you take informed business decisions ? Work with the best tools such as Apache Hadoop, R, Python, and Spark for NoSQL platforms to perform massive online analyses ? Get expert tips on statistical inference, machine learning, mathematical modeling, and data visualization for Big Data Who This Book Is For The book is intended for existing and aspiring Big Data professionals who wish to become the go-to person in their organization when it comes to Big Data architecture, analytics, and governance. While no prior knowledge of Big Data or related technologies is assumed, it will be helpful to have some programming experience. What You Will Learn ? Get a 360-degree view into the world of Big Data, data science and machine learning ? Broad range of technical and business Big Data analytics topics that caters to the interests of the technical experts as well as corporate IT executives ? Get hands-on experience with industry-standard Big Data and machine learning tools such as Hadoop, Spark, MongoDB, KDB+ and R ? Create production-grade machine learning BI Dashboards using R and R Shiny with step-by-step instructions ? Learn how to combine open-source Big Data, machine learning and BI Tools to create low-cost business analytics applications ? Understand corporate strategies for successful Big Data and data science projects ? Go beyond general-purpose analytics to develop cutting-edge Big Data applications using emerging technologies In Detail Big Data analytics relates to the strategies used by organizations to collect, organize and analyze large amounts of data to uncover valuable business insights that otherwise cannot be analyzed through traditional systems. Crafting an enterprise-scale cost-efficient Big Data and machine learning solution to uncover insights and value from your organization's data is a challenge. Today, with hundreds of new Big Data systems, machine learning packages and BI Tools, selecting the right combination of technologies is an even greater challenge. This book will help you do that. With the help of this guide, you will be able to bridge the gap between the theoretical world of technology with the practical ground reality of building corporate Big Data and data science platforms. You will get hands-on exposure to Hadoop and Spark, build machine learning dashboards using R and R Shiny, create web-based apps using NoSQL databases such as MongoDB and even learn how to write R code for neural networks. By the end of the book, you will have a very clear and concrete understanding of what Big Data analytics means, how it drives revenues for organizations, and how you can develop your own Big Data analytics solution using different tools and methods articulated in this book. Style and approach This book equips you with a knowledge of various NoSQL tools, R, Python programming, cloud platforms, and techniques so you can use them to store, analyze, and deliver meaningful insights from your data.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 5,534円 |
 Modern Art for Kids: Hands-On Art and Craft Activities Inspired by the Masters MODERN ART FOR KIDS （Art Stars） [ Stephanie Ho Poon ] 楽天ブックス | MODERN ART FOR KIDS Art Stars Stephanie Ho Poon Shannon Yeung QUARRY BOOKS2023 Paperback English ISBN：9780760382073 洋書 Books for kids（児童書） Juvenile Nonfiction | 3,168円 |
 Hands-On Microsoft Teams A practical guide to enhancing enterprise collaboration with Microsoft Teams and Office 365【電子書籍】[ Jo?o Ferreira ] 楽天Kobo電子書籍ストア | ＜p＞＜b＞(A new edition with enhanced coverage is now available) A complete guide on Teams filled with real-world scenarios and best practices to increase productivity and engagement＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Interactive approach to learn the key concepts of Teams and its implementation in modern workplace＜/li＞＜li＞Discover tips and techniques for extending Teams to meet your business requirements＜/li＞＜li＞Integrate Teams with various Microsoft services such as PowerShell, SharePoint, PowerApps, and Power Automate＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Microsoft Teams is a platform for unified communication in modern workplaces. It not only enables effective communication, but also helps you manage your resources through its integration with various Microsoft Office 365 services. This book offers a comprehensive introduction to the platform, getting you up to speed in no time. Complete with hands-on tutorials, and projects, this easy-to-follow guide will teach you how to use Teams in the best possible way. Starting with the basic concepts that will help you collaborate on Teams, this book takes you through expert techniques for creating and managing teams. A dedicated section also features industry practices to help enhance collaboration in modern workplaces. In later chapters, you’ll explore Microsoft services such as SharePoint, PowerApps, Power Automate, and learn how they interact with Microsoft Teams. You’ll also get to grips with dealing with permissions and security issues in managing private and public teams and channels. Along the way, you’ll discover practical scenarios that will help you improve the collaboration in your organization and increase productivity by using Teams features. By the end of this book, you’ll have hands-on experience of using Microsoft Teams, along with the skills you need to improve the way people collaborate in your organization.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Create teams, channels, and tabs in Microsoft Teams＜/li＞＜li＞Explore the Teams architecture and various Office 365 components included in Teams＜/li＞＜li＞Perform scheduling, and managing meetings and live events in Teams＜/li＞＜li＞Configure and manage apps in Teams＜/li＞＜li＞Design automated scripts for managing a Teams environment using PowerShell＜/li＞＜li＞Build your own Microsoft Teams app without writing code＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This Microsoft Teams book is for power users and business professionals looking to use Teams for improving collaboration in an enterprise environment. The book will also be useful for Office 365 administrators interested in implementing Microsoft Teams effectively by learning about and exploring expert tips and best practices to ensure good governance.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 4,734円 |
 Hands-On Data Analysis with Pandas Efficiently perform data collection, wrangling, analysis, and visualization using Python【電子書籍】[ Stefanie Molin ] 楽天Kobo電子書籍ストア | ＜p＞＜strong＞Get to grips with pandasーa versatile and high-performance Python library for data manipulation, analysis, and discovery＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Perform efficient data analysis and manipulation tasks using pandas＜/li＞ ＜li＞Apply pandas to different real-world domains using step-by-step demonstrations＜/li＞ ＜li＞Get accustomed to using pandas as an effective data exploration tool＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞Data analysis has become a necessary skill in a variety of positions where knowing how to work with data and extract insights can generate significant value.＜/p＞ ＜p＞Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn. Using real-world datasets, you will learn how to use the powerful pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will learn how to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification, using scikit-learn, to make predictions based on past data.＜/p＞ ＜p＞By the end of this book, you will be equipped with the skills you need to use pandas to ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Understand how data analysts and scientists gather and analyze data＜/li＞ ＜li＞Perform data analysis and data wrangling in Python＜/li＞ ＜li＞Combine, group, and aggregate data from multiple sources＜/li＞ ＜li＞Create data visualizations with pandas, matplotlib, and seaborn＜/li＞ ＜li＞Apply machine learning (ML) algorithms to identify patterns and make predictions＜/li＞ ＜li＞Use Python data science libraries to analyze real-world datasets＜/li＞ ＜li＞Use pandas to solve common data representation and analysis problems＜/li＞ ＜li＞Build Python scripts, modules, and packages for reusable analysis code＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞This book is for data analysts, data science beginners, and Python developers who want to explore each stage of data analysis and scientific computing using a wide range of datasets. You will also find this book useful if you are a data scientist who is looking to implement pandas in machine learning. Working knowledge of Python programming language will be beneficial.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。 | 4,704円 |