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.

Want to get an MBA? The Complete MBA For Dummies, 2nd Edition, is the practical, plain-English guide that covers all the basics of a top-notch MBA program, helping you to navigate today's most innovative business strategies. From management to entrepreneurship to strategic planning, you'll understand the hottest trends and get the latest techniques for motivating employees, building global partnerships, managing risk, and manufacturing. This easy-to-access guide is full of useful information, tips, and checklists that will help you lead, manage, or participate in any business.

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、

◆「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？

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.

この本で紹介するのは
仕事で成績1位を取るノウハウではありません。 職場で人気者になる方法でもありません。

本書の思考整理術を「自分の頭のモヤモヤを解消したい」人や、お客様や部下、友人、家族の相談に乗って感謝され、より良い関係性を育みたいビジネスパーソンの皆さんにお届けします。

宇宙飛行士 山崎直子さん推薦！！！！「未来に向き合うときの羅針盤となる本です！」子ども向け未来予測の決定版！あなたの常識がひっくり返ること間違いなし！

"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.