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

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Synopsis

"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 around data—now get the facts.   In Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning, 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.   You’ll learn how to:  Think statistically and understand the role variation plays in your life and decision making  Speak intelligently and ask the right questions about the statistics and results you encounter in the workplace  Understand what’s really going on with machine learning, text analytics, deep learning, and artificial intelligence Avoid common pitfalls when working with and interpreting data Becoming a Data Head 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. 

Book details

Author:
Alex J. Gutman, Jordan Goldmeier
ISBN:
9781119741718
Related ISBNs:
9781119741749
Publisher:
Wiley
Pages:
272
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2021-04-19
Usage restrictions:
Copyright
Copyright date:
2021
Copyright by:
John Wiley & Sons, Inc., Indianapolis, Indiana 
Adult content:
No
Language:
English
Categories:
Business and Finance, Computers and Internet, Mathematics and Statistics, Nonfiction