第三次人工知能(AI)ブームの中核的役割を果たす深層学習(ディープ・ラーニング)は、その高い信頼性と汎用性ゆえに様々な領域に応用されていく一方で、

Data Science for Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, listening to this book will help you understand what technologies, programming languages, and mathematical methods on which to focus.

Data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.

In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.

◆「がんばってるね」と褒められる仕事のやり方がわかる本！・気がきく仕事って、どうすればできるの？・同じミスをくり返しちゃうのはなぜ？

In the past few years, a number of well-known firms have failed; think of Blockbuster, Kodak, or RadioShack. When we hear about their demise, it often seems inevitable - a natural part of "creative destruction." But closer examination reveals a disturbing truth: Companies large and small are shuttering more quickly than ever. What does it take to buck this trend? The simple answer is: ambidexterity. Firms must remain competitive in their core markets, while also winning in new domains.

"Correlation does not imply causation". This mantra has been invoked by scientists for decades and has led to a virtual prohibition on causal talk. But today, that taboo is dead. The causal revolution, sparked by Judea Pearl and his colleagues, has cut through a century of confusion and placed causality - the study of cause and effect - on a firm scientific basis.

Author Martin Kleppmann helps you navigate the diverse data landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.

From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

なぜ頭のいい人は図を描いて考えるのか？
MＢＡ/Ｐｈ.Ｄ×外資系コンサル×大学教授としてビジネスの最前線で30年考え続けてきた著者が誰でもできる「深く考える」メソッドを体系化！

会社で生きぬく「武器」を身につけろあなたのスキルを瞬時に上げる87のテクニック

This audiobook is about luck, or more precisely, how we perceive and deal with luck in life and business. It is already a landmark work, and its title has entered our vocabulary. In its second edition, Fooled by Randomness is now a cornerstone for anyone interested in random outcomes.

保険料の見積りや企業の人事評価、医師の診断や裁判。均一な判断が前提とされる組織において判断のばらつき（ノイズ）が生じるのはなぜか？　フェアな社会を実現するために、行動経済学の第一人者たちが

Whether he was introducing the latest iPad or delivering a keynote presentation, Steve Jobs electrified audiences with his incomparable style and showmanship. He didn’t just convey information in his presentations; he told a story, painted a picture, and shared a vision. He gave his audience a transformative experience that was unique, inspiring, and unforgettable. Now you can do it too, by learning the specific techniques that made Jobs the most captivating communicator on the world stage.

◆社会の真理を暴き、11万部突破の大ヒット
伝説的なブログ『分裂勘違い君劇場』を中心に、
何百万人もの感情を揺さぶり続けたモンスター・ブロガーがついにデビュー！