<p><b>”Turn yourself into a Data Head. You’ll become a more valuable employee and make your organization more successful.”<br /></b>Thomas H. Davenport, Research Fellow, Author of <i>Competing on Analytics</i>, <i>Big Data @ Work</i>, and <i>The AI Advantage</i></p> <p><b>You’ve heard the hype around data—now get the facts.</b></p> <p>In <i>Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning</i>, award-winning data scientists Alex Gutman and Jordan Goldmeier pull back the curtain on data science and give you the language and tools necessary to talk and think critically about it.</p> <p>You’ll learn how to:</p> <ul> <li>Think statistically and understand the role variation plays in your life and decision making</li> <li>Speak intelligently and ask the right questions about the statistics and results you encounter in the workplace</li> <li>Understand what’s really going on with machine learning, text analytics, deep learning, and artificial intelligence</li> <li>Avoid common pitfalls when working with and interpreting data</li> </ul> <p><i>Becoming a Data Head</i> is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently readable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you’re a business professional, engineer, executive, or aspiring data scientist, this book is for you.</p>
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How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
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