Description: Becoming a Data Head : How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning, Paperback by Gutman, Alex J.; Goldmeier, Jordan, ISBN 1119741742, ISBN-13 9781119741749, Brand New, Free shipping in the US "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 readabl. 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 Title: Becoming a Data Head : How to Think, Speak, and Understand Data S
Number of Pages: 272 Pages
Language: English
Publication Name: Becoming a Data Head : How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
Publisher: Wiley & Sons, Incorporated, John
Subject: Information Management, General, Databases / Data Mining, Statistics
Item Height: 0.7 in
Publication Year: 2021
Item Weight: 10.4 Oz
Type: Textbook
Subject Area: Mathematics, Computers, Business & Economics
Item Length: 8.6 in
Author: Jordan Goldmeier, Alex J. Gutman
Item Width: 5.8 in
Format: Trade Paperback
