"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.

Words. We use them all the time, every day, mostly without giving them much thought at all. We take for granted that they’re here at our disposal whenever we need them. But if you’ve ever wished you could communicate more effectively, words are the place to start. It’s incumbent upon you to choose the best words to accomplish your goals, because how you choose to communicate influences—well, everything! The power of communication shapes our professional goals, our relationships, and our lives—so the words we choose to use carry a great deal of power.

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.

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.

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.

It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets.

When Fortune 100 corporations are stymied, it's the "McKinsey-ites" whom they call for help. Former McKinsey associate Ethan Rasiel lifts the veil to show you how the secretive McKinsey works its magic, and helps you emulate the firm's well-honed practices in problem solving, communication, and management. Both a behind-the-scenes look at one of the most admired and secretive companies in the business world and a toolkit of problem-solving techniques without peer, The McKinsey Way empowers every business decision maker to become a better strategic player in any organization.

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.

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、

The 3rd edition of The Amazon Way is one of the rare business leadership books giving actionable insights for innovation and business growth to be the basis for your digital transformation gameplan. The Amazon Way translates Amazon's unique culture and management practices into insights and opportunities, as only an Amazon executive and expert advisor could do for the Amazon Leadership Principles giving listeners one of the essential business leadership books for the digital era.