Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning Paperback - 2021
by Gutman, Alex J
- New
Description
Details
- Title Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
- Author Gutman, Alex J
- Binding Paperback
- Condition New
- Pages 272
- Volumes 1
- Language ENG
- Publisher Wiley
- Date 2021-05-11
- Features Bibliography, Index
- Bookseller's Inventory # 531ZZZ00T5XU_ns
- ISBN 9781119741749 / 1119741742
- Weight 0.8 lbs (0.36 kg)
- Dimensions 8.8 x 6 x 0.6 in (22.35 x 15.24 x 1.52 cm)
- Library of Congress subjects Data mining, Machine learning
- Library of Congress Catalog Number 2021934226
- Dewey Decimal Code 006.312
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From the rear cover
"This book is for anyone, or any organization, asking how to bring a data mindset to the whole company, not just those trained in the space."
--Eric Weber, Head of Experimentation & Metrics Research at Yelp
A concise and readable guide to data and data science
In Becoming a Data Head, 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.
Becoming a Data Head will show you how to:
- Think statistically and understand the role variation plays in your life and decision making.
- Become data literate--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.
