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【10％OFFクーポン対象】HANDSON GRIP（ハンズオングリップ）ホーボーメリノウールグローブ / メンズレディース手袋スマホ対応通勤サイクリングアウトドアインナーグローブ日本製 HOBO ROCOCO attractive clothing	サイズ（cm） M L 全長 27.5 28 手囲い 20 21 計測方法手囲い：小指の付け根から手首までを結んだ線上で、手首から1/3の場所と生命線の始まりを結んだラインの周囲。全長：手首部分端から中指先端まで。ご注意 ※個体差により表記サイズと多少の誤差が生じる可能性がございます。予めご了承ください。※ご利用のモニター環境により色味が実物と異なって見える場合がございますので、予めご了承ください。スペック・素材素材ウール100％重量約 50g / 箱込み約 115g（サイズL）生産国日本製洗濯表記詳しくはこちら⇒ サイズの測り方はこちら>> ラッピングはこちら>> ※ メーカー希望小売価格はメーカー商品タグに基づいて掲載しています。メリノウールと独自形状が生む包み込まれる装着感 HANDSON GRIPの人気モデル「HOBO（ホーボー）」のご紹介です。柔らかなメリノウールの風合いと、縫い目を最小限に抑えた独自の形状が相まって、包み込まれるような装着感を実現。街に馴染む洗練されたデザインで、移動時の手を優しく守ります。日常の街使いでは十分な保温力を発揮しますが、薄手のグローブであるため、自転車やバイクでのご利用の際にはインナーグローブとしての使用がおすすめです。サイズはM・Lの2サイズ展開で、男女問わず着用可能。鮮やかな色からシックな色まで、豊富なカラーバリエーションも魅力です。 HANDSON GRIP（ハンズオングリップ）香川県東かがわ市に生まれた日本の手袋ブランド。培ってきた技術に加え、新しい素材やノウハウ、その全てを一つひとつの製品に集約しユーザーに体感してもらえる、そんな物作りを目指しています。 HANDSON GRIP 一覧はこちら >> 最高級とされる天然素材生地には、保温性・調湿性・抗菌性に優れたメリノウールを採用。天然の調湿素材であるウールが蒸れを防ぎ、快適な暖かさを長時間キープします。また、シルクにも例えられるほど、しなやかで柔らかな肌あたりが特徴で、敏感肌の方でも安心してお使いいただけます。スマホの操作が可能親指と人差し指の指先が出せる設計になっており、細かい作業がしやすい設計。手袋を装着したままでも、スマートフォンやタブレットの操作が可能で、快適に使用できます。抜群のフィット感でインナーグローブとしても◎ 新たに開発された専用パターンが、抜群のフィット感を実現。縫い目を最小限に抑えた独自形状が特徴です。さらに、カフスを長めに設計することで、インナーグローブとしてのレイヤリングにも対応。内側にはループが付いており、カラビナでバッグに取り付けられるため、グローブを無くす心配もありません。幅広いスタイルに対応するラインナップ鮮やかな色からシックな色まで、5色のカラーバリエーションと2サイズ展開で、さまざまなスタイルに対応可能。色彩豊かなカラーリングが冬コーデのアクセントに。さらに、オリジナルのケース入りでお届け。スマートなデザインと機能性で、プレゼントとしても喜ばれること間違いなしのアイテムとなっています。	7,590円
【30％OFF】HANDSON GRIP（ハンズオングリップ）トラッカー / アウトドアグローブ / フリース手袋 / スマホ対応 / ポーラテック / メンズ / 日本製 / TRACKER【セール】 ROCOCO attractive clothing	サイズ（cm）＆スペック M L サイズ手囲い：約23〜24全長：約24.5 手囲い：約25〜26全長：約25.5 備考 ※手囲い：小指の付け根から手首までを結んだ線上で、手首から3/1の場所と生命線の始まりを結んだラインの周囲。 ※全長：手首部分端から中指先端まで。カラーブラック、シンダー、オリーブ素材ポリエステル60％、ナイロン30％、ポリウレタン10％生産国日本製重量約45g（Lサイズ）洗濯表記詳しくはこちら⇒ ご注意 ※箱付きと箱なしの在庫が混在しており、ご注文時にお選びいただくことができません。予めご了承ください。ラッピングはこちら>> ※ メーカー希望小売価格はメーカー商品タグに基づいて掲載しています。街をアクティブに移動できる機能グローブメイン素材には、保温性に優れたフリース素材ポーラテック POWER STRETCHを採用。手平には超極細繊維ナノフロントを組み合わせた、街からフィールまで幅広く対応できるモデルです。新たに開発した専用パターンは、暖かさと抜群のフィット感を実現。街に溶け込むデザインは、移動の際の手を優しく包みます。約60年に渡り手袋を作る国産ブランドハンズオングリップが生まれたのは、四国の北東に位置する、香川県東かがわ市。この瀬戸内海に面した小さな街は、日本の手袋生産のおよそ9割を出荷する手袋の街。この地で、約60年に渡り手袋づくりに関わっているブランドです。培ってきた技術に加え、新しい素材やノウハウ、その全てを一つ一つの製品に集約しユーザーに体感してもらえる、そんな物作りを目指しています。優しく手を守る柔らかなフリース素材甲側部分に採用されている素材は、軽く、速乾性と伸縮性に富み、耐久性にも優れた高級ストレッチフリースとして有名なPolartec（ポーラテック）社の最高級といわれる『パワーストレッチプロ』を採用。ふんわりとした暖かさを持ち、のびやかで、柔らかな着用感は、まるで包み込まれているかのよう。ふんわりと包み込まれる暖かさ裏地は、起毛したフリース生地で貴重な熱を閉じ込めてくれます。緻密でふんわりとした起毛は肌触りが抜群で、暖かい空気を溜めるのでポカポカと快適です。卓越したグリップをもたらすナノフロント手平には、テイジン社が開発した、超極細繊維ナノフロントを採用。ナノフロントの生地の表面積は、通常繊維の約10倍。しかも繊維表面のナノサイズの凸凹が大きな摩擦力を発生させ、超極細繊維の吸い付くようなフィーリングで、大きなグリップ力を発揮します。その卓越したグリップを活かし、ゴルフのグローブ等にも使われる高機能ファブリックです。ー color ー HANDSON GRIP 一覧はこちら >>	6,083円
Hands-On Machine Learning with C++ Build, train, and deploy end-to-end machine learning and deep learning pipelines【電子書籍】[ Kirill Kolodiazhnyi ] 楽天Kobo電子書籍ストア	＜p＞＜b＞Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib with the help of real-world examples and datasets＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Become familiar with data processing, performance measuring, and model selection using various C++ libraries＜/li＞＜li＞Implement practical machine learning and deep learning techniques to build smart models＜/li＞＜li＞Deploy machine learning models to work on mobile and embedded devices＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞C++ can make your machine learning models run faster and more efficiently. This handy guide will help you learn the fundamentals of machine learning (ML), showing you how to use C++ libraries to get the most out of your data. This book makes machine learning with C++ for beginners easy with its example-based approach, demonstrating how to implement supervised and unsupervised ML algorithms through real-world examples. This book will get you hands-on with tuning and optimizing a model for different use cases, assisting you with model selection and the measurement of performance. You’ll cover techniques such as product recommendations, ensemble learning, and anomaly detection using modern C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML, mlpack, and dlib. Next, you’ll explore neural networks and deep learning using examples such as image classification and sentiment analysis, which will help you solve various problems. Later, you’ll learn how to handle production and deployment challenges on mobile and cloud platforms, before discovering how to export and import models using the ONNX format. By the end of this C++ book, you will have real-world machine learning and C++ knowledge, as well as the skills to use C++ to build powerful ML systems.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Explore how to load and preprocess various data types to suitable C++ data structures＜/li＞＜li＞Employ key machine learning algorithms with various C++ libraries＜/li＞＜li＞Understand the grid-search approach to find the best parameters for a machine learning model＜/li＞＜li＞Implement an algorithm for filtering anomalies in user data using Gaussian distribution＜/li＞＜li＞Improve collaborative filtering to deal with dynamic user preferences＜/li＞＜li＞Use C++ libraries and APIs to manage model structures and parameters＜/li＞＜li＞Implement a C++ program to solve image classification tasks with LeNet architecture＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞You will find this C++ machine learning book useful if you want to get started with machine learning algorithms and techniques using the popular C++ language. As well as being a useful first course in machine learning with C++, this book will also appeal to data analysts, data scientists, and machine learning developers who are looking to implement different machine learning models in production using varied datasets and examples. Working knowledge of the C++ programming language is mandatory to get started with this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	5,166円
ハンズオングリップ（handsongrip）ブリージー（Breezy）カラー：ブラックムース楽天市場支店	インナーにPOLARTEC社のALPHA DIRECTを使用した、計量でミニマルな防風仕様のモデル。 ALPHA DIRECTによって保温性と通気性に優れたグローブとなっており、暖かいときはムレを抑えつつ肌寒いときはしっかりと温めてくれるため、幅広いシーンでお使いいただけます。また、掌には耐久力に優れた牛革のアテが設計されています。通常の「Hobo」と同様、人差指と親指は指が出せる仕様になっており、スマートホンの操作はもちろん、細かい作業もしやすくなっています。・軽量でミニマルな防風仕様のモデル・保温性、通気性に優れるアルファダイレクトをインナーに使用・掌部分のアテに耐久性に優れた牛革を使用・細かい作業ができるよう指先が出せる設計「handsongrip」ハンズオングリップが生まれたのは、四国の北東に位置する、香川県東かがわ市。この瀬戸内海に面した小さな街は、日本の手袋生産のおよそ9割を出荷する手袋の街。私たちはこの地で、約60年に渡り手袋づくりに関わっています。培ってきた技術に加え、新しい素材やノウハウ、その全てを一つ一つの製品に集約しユーザーに体感してもらえる、そんな物作りを目指しています。	9,350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 Hall Hands 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
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
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。	4,791円
Hands on Hacking Become an Expert at Next Gen Penetration Testing and Purple Teaming【電子書籍】[ Matthew Hickey ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞A fast, hands-on introduction to offensive hacking techniques＜/strong＞＜/p＞＜p＞＜em＞Hands-On Hacking＜/em＞ teaches readers to see through the eyes of their adversary and apply hacking techniques to better understand real-world risks to computer networks and data. Readers will benefit from the author's years of experience in the field hacking into computer networks and ultimately training others in the art of cyber-attacks. This book holds no punches and explains the tools, tactics and procedures used by ethical hackers and criminal crackers alike.＜/p＞＜p＞We will take you on a journey through a hacker’s perspective when focused on the computer infrastructure of a target company, exploring how to access the servers and data. Once the information gathering stage is complete, you’ll look for flaws and their known exploitsーincluding tools developed by real-world government financed state-actors.＜/p＞＜ul＞＜li＞An introduction to the same hacking techniques that malicious hackers will use against an organization＜/li＞＜li＞Written by infosec experts with proven history of publishing vulnerabilities and highlighting security flaws＜/li＞＜li＞Based on the tried and tested material used to train hackers all over the world in the art of breaching networks＜/li＞＜li＞Covers the fundamental basics of how computer networks are inherently vulnerable to attack, teaching the student how to apply hacking skills to uncover vulnerabilities＜/li＞＜/ul＞＜p＞We cover topics of breaching a company from the external network perimeter, hacking internal enterprise systems and web application vulnerabilities. Delving into the basics of exploitation with real-world practical examples, you won't find any hypothetical academic only attacks here. From start to finish this book will take the student through the steps necessary to breach an organization to improve its security.＜/p＞＜p＞Written by world-renowned cybersecurity experts and educators, ＜em＞Hands-On Hacking＜/em＞ teaches entry-level professionals seeking to learn ethical hacking techniques. If you are looking to understand penetration testing and ethical hacking, this book takes you from basic methods to advanced techniques in a structured learning format.＜/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。	3,989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	8,910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。	5,073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
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。	3,381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	3,960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。	4,791円
Hands-On Genetic Algorithms with Python Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems【電子書籍】[ Eyal Wirsansky ] 楽天Kobo電子書籍ストア	＜p＞＜b＞Explore the ever-growing world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine learning models using Python libraries such as DEAP, scikit-learn, and NumPy＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Explore the ins and outs of genetic algorithms with this fast-paced guide＜/li＞＜li＞Implement tasks such as feature selection, search optimization, and cluster analysis using Python＜/li＞＜li＞Solve combinatorial problems, optimize functions, and enhance the performance of artificial intelligence applications＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Genetic algorithms are a family of search, optimization, and learning algorithms inspired by the principles of natural evolution. By imitating the evolutionary process, genetic algorithms can overcome hurdles encountered in traditional search algorithms and provide high-quality solutions for a variety of problems. This book will help you get to grips with a powerful yet simple approach to applying genetic algorithms to a wide range of tasks using Python, covering the latest developments in artificial intelligence. After introducing you to genetic algorithms and their principles of operation, you'll understand how they differ from traditional algorithms and what types of problems they can solve. You'll then discover how they can be applied to search and optimization problems, such as planning, scheduling, gaming, and analytics. As you advance, you'll also learn how to use genetic algorithms to improve your machine learning and deep learning models, solve reinforcement learning tasks, and perform image reconstruction. Finally, you'll cover several related technologies that can open up new possibilities for future applications. By the end of this book, you'll have hands-on experience of applying genetic algorithms in artificial intelligence as well as in numerous other domains.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Understand how to use state-of-the-art Python tools to create genetic algorithm-based applications＜/li＞＜li＞Use genetic algorithms to optimize functions and solve planning and scheduling problems＜/li＞＜li＞Enhance the performance of machine learning models and optimize deep learning network architecture＜/li＞＜li＞Apply genetic algorithms to reinforcement learning tasks using OpenAI Gym＜/li＞＜li＞Explore how images can be reconstructed using a set of semi-transparent shapes＜/li＞＜li＞Discover other bio-inspired techniques, such as genetic programming and particle swarm optimization＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for software developers, data scientists, and AI enthusiasts who want to use genetic algorithms to carry out intelligent tasks in their applications. Working knowledge of Python and basic knowledge of mathematics and computer science will help you get the most out of this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,304円
Interpretable Machine Learning with Python Build explainable, fair, and robust high-performance models with hands-on, real-world examples【電子書籍】[ Serg Mas?s ] 楽天Kobo電子書籍ストア	＜p＞＜b＞A deep dive into the key aspects and challenges of machine learning interpretability using a comprehensive toolkit, including SHAP, feature importance, and causal inference, to build fairer, safer, and more reliable models. Purchase of the print or Kindle book includes a free eBook in PDF format.＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Interpret real-world data, including cardiovascular disease data and the COMPAS recidivism scores＜/li＞＜li＞Build your interpretability toolkit with global, local, model-agnostic, and model-specific methods＜/li＞＜li＞Analyze and extract insights from complex models from CNNs to BERT to time series models＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Interpretable Machine Learning with Python, Second Edition, brings to light the key concepts of interpreting machine learning models by analyzing real-world data, providing you with a wide range of skills and tools to decipher the results of even the most complex models. Build your interpretability toolkit with several use cases, from flight delay prediction to waste classification to COMPAS risk assessment scores. This book is full of useful techniques, introducing them to the right use case. Learn traditional methods, such as feature importance and partial dependence plots to integrated gradients for NLP interpretations and gradient-based attribution methods, such as saliency maps. In addition to the step-by-step code, you’ll get hands-on with tuning models and training data for interpretability by reducing complexity, mitigating bias, placing guardrails, and enhancing reliability. By the end of the book, you’ll be confident in tackling interpretability challenges with black-box models using tabular, language, image, and time series data.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Progress from basic to advanced techniques, such as causal inference and quantifying uncertainty＜/li＞＜li＞Build your skillset from analyzing linear and logistic models to complex ones, such as CatBoost, CNNs, and NLP transformers＜/li＞＜li＞Use monotonic and interaction constraints to make fairer and safer models＜/li＞＜li＞Understand how to mitigate the influence of bias in datasets＜/li＞＜li＞Leverage sensitivity analysis factor prioritization and factor fixing for any model＜/li＞＜li＞Discover how to make models more reliable with adversarial robustness＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for data scientists, machine learning developers, machine learning engineers, MLOps engineers, and data stewards who have an increasingly critical responsibility to explain how the artificial intelligence systems they develop work, their impact on decision making, and how they identify and manage bias. It’s also a useful resource for self-taught ML enthusiasts and beginners who want to go deeper into the subject matter, though a good grasp of the Python programming language is needed to implement the examples.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,304円
Hands-on Intermediate Econometrics Using R Templates for Learning Quantitative Methods and R Software【電子書籍】[ Hrishikesh D Vinod ] 楽天Kobo電子書籍ストア	＜p＞How to learn both applied statistics (econometrics) and free, open-source software R? This book allows students to have a sense of accomplishment by copying and pasting many hands-on templates provided here.＜/p＞＜p＞The textbook is essential for anyone wishing to have a practical understanding of an extensive range of topics in Econometrics. No other text provides software snippets to learn so many new statistical tools with hands-on examples. The explicit knowledge of inputs and outputs of each new method allows the student to know which algorithm is worth studying. The book offers sufficient theoretical and algorithmic details about a vast range of statistical techniques.＜/p＞＜p＞The second edition's preface lists the following topics generally absent in other textbooks. (i) Iteratively reweighted least squares, (ii) Pillar charts to represent 3D data. (iii) Stochastic frontier analysis (SFA) (iv) model selection with Mallows' Cp criterion. (v) Hodrick-Prescott (HP) filter. (vi) Automatic ARIMA models. (vi) Nonlinear Granger-causality using kernel regressions and bootstrap confidence intervals. (vii) new Keynesian Phillips curve (NKPC). (viii) Market-neutral pairs trading using two cointegrated stocks. (ix) Artificial neural network (ANN) for product-specific forecasting. (x) Vector AR and VARMA models. (xi) New tools for diagnosing the endogeneity problem. (xii) The elegant set-up of k-class estimators and identification. (xiii) Probit-logit models and Heckman selection bias correction. (xiv) Receiver operating characteristic (ROC) curves and areas under them. (xv) Confusion matrix. (xvi) Quantile regression (xvii) Elastic net estimator. (xviii) generalized Correlations (xix) maximum entropy bootstrap for time series. (xx) Convergence concepts quantified. (xxi) Generalized partial correlation coefficients (xxii) Panel data and duration (survival) models.＜/p＞＜p＞＜strong＞Contents:＜/strong＞＜/p＞＜ul＞＜li＞Production Function and Regression Methods Using R＜/li＞＜li＞Univariate Time Series Analysis with R＜/li＞＜li＞Bivariate Time Series Analysis Including Stochastic Diffusion and Cointegration＜/li＞＜li＞Utility Theory and Empirical Implications＜/li＞＜li＞Vector Models for Multivariate Problems＜/li＞＜li＞Simultaneous Equation Models＜/li＞＜li＞Limited Dependent Variable (GLM) Models＜/li＞＜li＞Consumption and Demand: Kernel Regressions and Machine Learning＜/li＞＜li＞Single, Double, and Maximum Entropy Bootstrap and Inference＜/li＞＜li＞Generalized Least Squares, VARMA, and Estimating Functions＜/li＞＜li＞Box?Cox, Loess, Projection Pursuit, Quantile and Threshold Regression＜/li＞＜li＞Miscellany: Dependence, Correlations, Information Entropy, Causality, Panel Data, and Exact Stochastic Dominance＜/li＞＜/ul＞＜p＞＜strong＞Readership:＜/strong＞ Undergraduate and graduate students of economics and econometrics, applied statisticians and finance professionals.＜br /＞＜strong＞Key Features:＜/strong＞＜/p＞＜ul＞＜li＞Uniquely comprehensive coverage, including many very recently developed topics＜/li＞＜li＞Includes software snippets (that help learn the R language) for readers who are not interested in economics examples＜/li＞＜/ul＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	8,740円
Hands-On Geospatial Analysis with R and QGIS A beginner’s guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2【電子書籍】[ Shammunul Islam ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Practical examples with real-world projects in GIS, Remote sensing, Geospatial data management and Analysis using the R programming language＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Understand the basics of R and QGIS to work with GIS and remote sensing data＜/li＞＜li＞Learn to manage, manipulate, and analyze spatial data using R and QGIS＜/li＞＜li＞Apply machine learning algorithms to geospatial data using R and QGIS＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Managing spatial data has always been challenging and it's getting more complex as the size of data increases. Spatial data is actually big data and you need different tools and techniques to work your way around to model and create different workflows. R and QGIS have powerful features that can make this job easier.＜/p＞＜p＞This book is your companion for applying machine learning algorithms on GIS and remote sensing data. You’ll start by gaining an understanding of the nature of spatial data and installing R and QGIS. Then, you’ll learn how to use different R packages to import, export, and visualize data, before doing the same in QGIS. Screenshots are included to ease your understanding.＜/p＞＜p＞Moving on, you’ll learn about different aspects of managing and analyzing spatial data, before diving into advanced topics. You’ll create powerful data visualizations using ggplot2, ggmap, raster, and other packages of R. You’ll learn how to use QGIS 3.2.2 to visualize and manage (create, edit, and format) spatial data. Different types of spatial analysis are also covered using R. Finally, you’ll work with landslide data from Bangladesh to create a landslide susceptibility map using different machine learning algorithms.＜/p＞＜p＞By reading this book, you’ll transition from being a beginner to an intermediate user of GIS and remote sensing data in no time.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Install R and QGIS＜/li＞＜li＞Get familiar with the basics of R programming and QGIS＜/li＞＜li＞Visualize quantitative and qualitative data to create maps＜/li＞＜li＞Find out the basics of raster data and how to use them in R and QGIS＜/li＞＜li＞Perform geoprocessing tasks and automate them using the graphical modeler of QGIS＜/li＞＜li＞Apply different machine learning algorithms on satellite data for landslide susceptibility mapping and prediction＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is great for geographers, environmental scientists, statisticians, and every professional who deals with spatial data. If you want to learn how to handle GIS and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful but is not necessary.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	5,638円
Hands-On Unity 2021 Game Development Create, customize, and optimize your own professional games from scratch with Unity 2021, 2nd Edition【電子書籍】[ Nicolas Alejandro Borromeo ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Achieve mesmerizing game experiences using the latest Unity 2021 features by following a practical approach to building professional games＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Unleash the capabilities of C# scripting to create UIs, graphics, game AI agents and more＜/li＞＜li＞Explore Unity's latest tools, including Universal Render Pipeline, Shader Graph, UI Toolkit, Visual Scripting, and VFX graph, to enhance graphics and animation＜/li＞＜li＞Build an AR experience using Unity's AR Foundation＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Learning how to use Unity is the quickest way to creating a full game, but that's not all you can do with this simple, yet comprehensive suite of video game development tools ? Unity is just as useful for creating AR/VR experiences, complex simulations, real-time realistic rendering, films, and practical games for training and education.＜/p＞＜p＞Hands-On Unity 2021 Game Development outlines a practical journey to creating your first full game from the ground up, building it step-by-step and applying your knowledge as you progress.＜/p＞＜p＞Complete with hands-on tutorials and projects, this easy-to-follow guide will teach you how to develop the game using several Unity tools. As you advance, you will learn how to use the Unity engine, create simple scripts using C#, integrate graphics, sound, and animations, and manipulate physics to create interesting mechanics for your game. You'll be able to apply all the knowledge that you gain to a real-world game.＜/p＞＜p＞Later chapters will show you how to code a simple AI agent to challenge the user and use profiling tools to ensure that the code runs efficiently. Finally, you'll work with Unity's AR tools to create AR experiences for 3D apps and games.＜/p＞＜p＞By the end of this Unity book, you will have created a complete game and built a solid foundation in using a wide variety of Unity tools.＜/p＞＜h4＞What you will learn＜/h4＞＜ul＞＜li＞Explore both C# and Visual Scripting tools to customize various aspects of a game, such as physics, gameplay, and the UI＜/li＞＜li＞Program rich shaders and effects using Unity's new Shader Graph and Universal Render Pipeline＜/li＞＜li＞Implement postprocessing to improve graphics quality with full-screen effects＜/li＞＜li＞Create rich particle systems for your Unity games from scratch using VFX Graph and Shuriken＜/li＞＜li＞Add animations to your game using the Animator, Cinemachine, and Timeline＜/li＞＜li＞Use the brand new UI Toolkit package to create user interfaces＜/li＞＜li＞Implement game AI to control character behavior＜/li＞＜/ul＞＜h4＞Who this book is for＜/h4＞＜p＞This book is best suited for game developers looking to upgrade their knowledge and those who want to migrate their existing skills to the Unity game engine. Those with prior Unity knowledge will also benefit from the chapters exploring the latest features. While you'll still able to follow along if you don't have any programming experience, knowing the fundamentals of C# programming will help you get the most out of this book.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,791円
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。	4,085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。	5,638円
Python for Beginners. A Smarter Way to Learn Python in 5 Days and Remember it Longer. With Easy Step by Step Guidance and Hands on Examples. (Python Crash Course-Programming for Beginners)【電子書籍】[ Arthur T. Brooks ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Have you always wanted to learn computer programming but thought it was too difficult or would take too long?＜/strong＞＜/p＞＜p＞＜strong＞Do you want to know the secret to learning Python the easy way and start programming today?＜/strong＞＜/p＞＜p＞This book is for you.＜/p＞＜p＞You don't need to waste your time and money learning Python the hard way through tiresome technical books, expensive online courses and difficult Python tutorials.＜/p＞＜p＞This non-technical book will gently guide you through…＜/p＞＜p＞＜strong＞The Python Programming Language.＜/strong＞＜/p＞＜p＞You will learn the most concise methods to get you coding on day one-the smart way.＜/p＞＜p＞＜strong＞Python for Beginners.＜/strong＞＜/p＞＜p＞Beginner friendly hands on examples of practical and usable projects.＜/p＞＜p＞＜strong＞The most useful Python examples.＜/strong＞＜/p＞＜p＞Each example is specifically designed to give you a progressive and thorough understanding of key concepts and all answers are provided.＜/p＞＜p＞＜strong＞Strategic Python topics.＜/strong＞＜/p＞＜p＞The topics are presented in user friendly bite sized chunks to optimize a quick learning style which will also make it easy for you to remember.＜/p＞＜p＞This book is different in that it's primary focus it to teach you Python coding in a simple and concise format and in the quickest time frame possible. Each short chapter has exercises at the end which summarize what you have learned in a progressive manner to avoid overloading you with information.＜/p＞＜p＞Each exercise has been carefully chosen to enable you to master the language and retain what you have learned. No technical skills, previous knowledge or experience is required.＜/p＞＜p＞＜strong＞Download it now＜/strong＞＜/p＞＜p＞You'll also learn:＜/p＞＜p＞Exactly what is Python?＜/p＞＜p＞Which software do you need to code and run Python programs and where to find it?＜/p＞＜p＞What are variables?＜/p＞＜p＞What are strings and methods?＜/p＞＜p＞Using operations with numbers?＜/p＞＜p＞Using operations with lists?＜/p＞＜p＞How to use comments?＜/p＞＜p＞Working with loops?＜/p＞＜p＞Working with IF statements?＜/p＞＜p＞Operations involving dictionaries.＜/p＞＜p＞Operations using defined functions.＜/p＞＜p＞How to work with files?＜/p＞＜p＞How to manage errors and exceptions?＜/p＞＜p＞＜strong＞And more!＜/strong＞＜/p＞＜p＞Finally, you will be gently guided on how to put everything that you have learned together so that you can immediately start your own Python coding in your chosen real-world scenarios.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	450円
Hands-On Web Scraping with Python Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others【電子書籍】[ Anish Chapagain ] 楽天Kobo電子書籍ストア	＜p＞＜b＞Collect and scrape different complexities of data from the modern Web using the latest tools, best practices, and techniques ＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Learn different scraping techniques using a range of Python libraries such as Scrapy and Beautiful Soup＜/li＞＜li＞Build scrapers and crawlers to extract relevant information from the web＜/li＞＜li＞Automate web scraping operations to bridge the accuracy gap and manage complex business needs＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Web scraping is an essential technique used in many organizations to gather valuable data from web pages. This book will enable you to delve into web scraping techniques and methodologies. The book will introduce you to the fundamental concepts of web scraping techniques and how they can be applied to multiple sets of web pages. You'll use powerful libraries from the Python ecosystem such as Scrapy, lxml, pyquery, and bs4 to carry out web scraping operations. You will then get up to speed with simple to intermediate scraping operations such as identifying information from web pages and using patterns or attributes to retrieve information. This book adopts a practical approach to web scraping concepts and tools, guiding you through a series of use cases and showing you how to use the best tools and techniques to efficiently scrape web pages. You'll even cover the use of other popular web scraping tools, such as Selenium, Regex, and web-based APIs. By the end of this book, you will have learned how to efficiently scrape the web using different techniques with Python and other popular tools.＜h2＞What you will learn＜/h2＞＜ul＞＜li＞Analyze data and information from web pages＜/li＞＜li＞Learn how to use browser-based developer tools from the scraping perspective＜/li＞＜li＞Use XPath and CSS selectors to identify and explore markup elements＜/li＞＜li＞Learn to handle and manage cookies＜/li＞＜li＞Explore advanced concepts in handling HTML forms and processing logins＜/li＞＜li＞Optimize web securities, data storage, and API use to scrape data＜/li＞＜li＞Use Regex with Python to extract data＜/li＞＜li＞Deal with complex web entities by using Selenium to find and extract data＜/li＞＜/ul＞＜h2＞Who this book is for＜/h2＞＜p＞This book is for Python programmers, data analysts, web scraping newbies, and anyone who wants to learn how to perform web scraping from scratch. If you want to begin your journey in applying web scraping techniques to a range of web pages, then this book is what you need! A working knowledge of the Python programming language is expected. ＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	4,304円
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。	4,975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	3,960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。	5,214円
100 Easy STEAM Activities Awesome Hands-On Projects for Aspiring Artists and Engineers【電子書籍】[ Andrea Scalzo Yi ] 楽天Kobo電子書籍ストア	＜p＞＜strong＞Exciting Activities for Young Artists, Scientists and Engineers＜/strong＞＜/p＞＜p＞Spark your curiosity with these fun games and creative projects to learn early concepts in Science, Technology, Engineering, Art and Math. These incredible activities from Andrea Scalzo Yi, creator of Raising Dragons, make learning such a blast, you’ll forget you’re doing it!＜/p＞＜p＞Feeling bored on a rainy day? Now you can pick a project, gather your supplies and let the magic happen. Try far-out science experiments like making Shaving Cream Rain Clouds or Lava Lamps. Make math-time snack-time with delicious Cream-Filled Cookie Fractions. Unlock boundless creativity with art projects like Marbled Paper or Monster Bugs. With seasonal activities like the Pool Noodle Obstacle Course and Erupting Pumpkins, there are games to love year-round.＜/p＞＜p＞Have fun learning early ideas in chemistry, physics, computing, color-mixing and so much more, all while problem-solving and working together with friends. With projects that use common household items and require little adult supervision, ＜em＞100 Easy STEAM Activities＜/em＞ is the ultimate resource for an amazing, creative day of learning.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。	1,856円
Hands-On 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。	6,060円