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


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ISBN 9781260452778

Taddy M






Weight 0.733 kg
Dimensions 3.1 × 19.3 × 24.4 cm


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.

About the author
Matt Taddy is a Chief Economist at Amazon and Professor of Econometrics and Statistics at the University of Chicago Booth School of Business. He is a fellow of the Computation Institute and a Principal Researcher at Microsoft Research New England.

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