Becoming A Data Head: How To Think, Speak, And Understand Data Science, Statistics, And Machine Learning
ISBN: 1119741742
EAN13: 9781119741749
Language: English
Release Date: May 11, 2021
Pages: 288
Dimensions: 1" H x 9" L x 6" W
Weight: 1.468279 lbs.
Format: Paperback
Publisher:

Becoming A Data Head: How To Think, Speak, And Understand Data Science, Statistics, And Machine Learning

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Book Overview

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.

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Book Reviews (8)

5
  |   8  reviews
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5
   Great and Inspiring Guide
As someone enthusiastic about data and its potential to improve legal service delivery and the legal industry more generally, Michael Barowitz's book Becoming a Data Head is proving to be an excellent introduction to the space. We often joke about lawyers and their fear of numbers. Still, numbers and data are becoming increasingly crucial for the legal industry, just as they have been essential for so many other industries for a long time. Do you really want to know how data can change your life?
 
5
   Great Introduction
Good foundation knowledge of multiple subjects will allow the reader to feel more confident when joining a Data Science Team.
 
5
   Excellent High-Level Journey
This book provides an understandable, concise review of the key topics, nuances, and challenges associated with either being in a data-centric role or in a role that consumes data.
 
5
   Brilliant, Concise and Useful
An easy read, Mr. Rule told us. At Data Science Central, we focus your attention on the big challenges: data discovery and use. But, the tweak'' doesn't appear to be all math or coding chops. But first, you must read The Road To Success: The Seven Steps to Crushing It in the Corporate World.
 
3
   Seems useful, but smells terrible
The articles are very useful and it seems like it would be fairly compact, I think. It smells almost like bad scented fabric softener. I think I'll have to try and find a book that smells like paper.
 
5
   Great read to communicate your data more effectively
He and a colleague sift through much of the noise to break down complex data and statistical concepts we hear today into basic analogies and pie charts. Becoming a Data Head has enabled me to translate my team's data needs into more tangible business requirements that make sense for our organization, he said. If you want to communicate your data more effectively with your business and data science team, this is the book for you.
 
5
   Should Read
I am an attorney who purchased the book because data science, analytics, and artificial intelligence seem to be the future of all industries. The book put data science concepts relatable into everyday situations that even I could understand. Mr. Rule told the inquiry that he couldn't think of a single industry or management level that couldn't benefit from the anecdotal application of this book.
 
5
   Loved it!
I didn't know where to start, and this book really helped me understand data science and machine learning without any complicated programming. Highly recommend to anyone who works with data or just wants to learn, said Dr. Eric Bloom, co-founder of Databricks.
 
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