Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate...

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Matt Taddy

Business Data Science

Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions...

Matt Taddy

$68.95

Hardback

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English

McGraw-Hill Education
18 August 2019

Management decision making; Business mathematics & systems

The first machine-learning guide that helps you understand customers, frame decisions, and drive value Business Data Science reveals the best ways for utilizing machine learning (ML) to make the kind of data-driven decisions that lead to industry dominance. Whether you’re a corporate leader, marketing executive, or business analyst, you’ll find the information, insight, and tools you need to drive growth and profits in today’s data-driven economy. You’ll learn: •How ML works•How to use text-as-data for pricing decisions•How to utilize ML for A/B experiments•How to set up the best computing systems for their company’s needs•And much more Business Data Science shows how to do data science right. It’s about the exciting things being done around Big Data to run a flourishing business. It’s about the precepts, principals, and best practices that you need know for best-in-class business data science. Armed with this first-of-its-kind guide, you’ll be leaps and bounds ahead of your competition.

By: Matt Taddy
Imprint: McGraw-Hill Education
Country of Publication: United States
Dimensions: Height: 241mm, Width: 198mm, Spine: 28mm
Weight: 726g
ISBN: 9781260452778
ISBN 10: 1260452778
Pages: 352
Publication Date: 18 August 2019
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Matt Taddy was from 2008-2018 a Professor of Econometrics and Statistics at the University of Chicago Booth School of Business, where he developed their Data Science curriculum. Prior to and while at Chicago Booth, he has also worked in a variety of industry positions including as a Principal Researcher at Microsoft and a research fellow at eBay. He left Chicago in 2018 to join Amazon as a Vice President.