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.

経営者、プロダクトマネージャー、投資家必読！これからの成長戦略のメインストリームとなる「プロダクト・レッド・グロース（PLG：製品主導型成長戦略）」を体系的に紹介した日本初の

これまで数多くの一般向け統計本が出版され、人気を博してきた。だがその多くは「こんなデタラメな統計や調査がありますので、気をつけましょう」といったメッセージを発するものだった。

"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.

現在、米国を中心に世界では「イノベーションの経済学・経営学」に関する研究が盛んである。起業家はいかにしてどこから生まれるのか、なぜ起業家は特定の地域に集積するのか、科学技術はベンチャー企業の

「結果が出せるなら動機はどうでもいい」――。

How do you develop products that people will actually use and buy? This practical guide shows you how to validate product and company ideas through customer development research - before you waste months and millions on a product or service that no one needs or wants. With a combination of open-ended interviewing and fast and flexible research techniques, you’ll learn how your prospective customers behave, the problems they need to solve, and what frustrates and delights them

Lean UX has become the preferred approach to interaction design, tailor-made for today’s agile teams. In the second edition of this award-winning book, leading advocates Jeff Gothelf and Josh Seiden expand on the valuable Lean UX principles, tactics, and techniques covered in the first edition to share how product teams can easily incorporate design, experimentation, iteration, and continuous learning from real users into their Agile process.

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、

自由自在の「創造力」をその手に！アップルの創業者スティーブ・ジョブズや、アマゾンの創業者ジェフ・ベゾスなど、「世界を変えた」イノベーターの思考方法を子細に分析すると、共通する5つのステップが浮かび上がってくる。