Becoming a Data Head: How to Think, Speak and Understand Data Science, Statistics and Machine Learning

“Turn yourself into a Data Head. You’ll become a more valuable employee and make your organization more successful.”
Thomas H. Davenport, Research Fellow, Author of Competing on Analytics, Big Data @ Work, and The AI Advantage

You’ve heard the hype round information—now get the information.

In Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning, award-winning information scientists Alex Gutman and Jordan Goldmeier pull again the curtain on information science and provide the language and instruments crucial to speak and suppose critically about it.

You’ll find out how to:

• Think statistically and perceive the position variation performs in your life and resolution making
• Speak intelligently and ask the correct questions concerning the statistics and outcomes you encounter within the office
• Understand what’s actually happening with machine studying, textual content analytics, deep studying, and synthetic intelligence
• Avoid widespread pitfalls when working with and deciphering information

Becoming a Data Head is a full information for information science within the office: protecting every little thing from the personalities you’ll work with to the maths behind the algorithms. The authors have spent years in information trenches and sought to create a enjoyable, approachable, and eminently readable guide. Anyone can change into a Data Head—an lively participant in information science, statistics, and machine studying. Whether you are a enterprise skilled, engineer, government, or aspiring information scientist, this guide is for you.