秘書のように問いかけに応えるスマホ、自動運転車、ビッグデータ──。時代を読み解くキーワードは「クラウド」から「ＡＩ＝人工知能」へ。 

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 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.

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. 

This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks.

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.

The Compound Effect contains the essence of what every super achiever needs to know, practice, and master to obtain extraordinary success. Inside you will hear strategies on how to win-every time; eradicating the bad habits that are derailing your progress; painlessly installing the few key disciplines required for major breakthroughs; the real, lasting keys to gaining and sustaining motivation; capturing the elusive, awesome force of momentum; and the acceleration secrets of superachievers.

In this audiobook, you'll get a clear overview of artificial intelligence technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field. 

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. 

国民よ目を覚ませ！医療問題アナリストにして総合クリニックの院長・参政党外部アドバイザーの吉野敏明が、抹殺覚悟で、食と政治と医療の問題に斬り込んだ！

天才はどうやって弱点を才能で補ってきたか。

天才とは、いったい何なのだろう。アインシュタインなどの非凡な才能の持ち主は、私たちが精神的な欠陥とみなす「脳の特異性」を持っていた。

In this cutting-edge program, 30 Days to a More Powerful Vocabulary, personal development expert and English enthusiast Dan Strutzel will instruct, enlighten, and inspire you with a concentrated 30-day program that will teach you over 500 words. But, more than teaching you these words, the uniquely designed morning and evening review sessions will ensure that these words become a habit-knit part of your life - and with minimal effort on your part.

脳は推論するシステムだ! 知覚、認知、運動、思考、意識──それぞれの仕組みの解明は進んできたが、それらを統一的に説明する理論が長らく不在だった。

"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.