Business Data Science ― Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions
商品資訊
ISBN13:9781260452778
出版社:McGraw-Hill
作者:Matt Taddy
出版日:2019/04/19
裝訂:精裝
規格:24.1cm*19.7cm*3.8cm (高/寬/厚)
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:NT$ 1672 元優惠價
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商品簡介
作者簡介
商品簡介
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.
作者簡介
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.
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