(EBOOK Business Data Science Combining Machine Learning and Economics to Optimize Automate and Accelerate Business Decisions 'Full_Pages'

(EBOOK> Business Data Science: Combining Machine Learning and Economics to
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Business Data Science: Combining Machine
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Decisions
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(EBOOK> Business Data Science: Combining Machine Learning and Economics to Optimize,
Automate, and Accelerate Business Decisions 'Full_Pages'
(EBOOK> Business
Data Science:
Combining Machine
Learning and
Economics to
Optimize, Automate,
and Accelerate
Business Decisions
'Full_Pages'
Description
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. “ Matt Taddy has written a thorough, thoughtful book on the
statistics that underlie the use of big data. This is a fantastic resource, chock full of real
applications, techniques, and insight. Unlike most machine learning texts, this book provides
methods of extracting reliable understanding from data, addressing the problem that correlation is
not causation.”—PRESTON MCAFEE, former Chief Economist and Corporate Vice President
for Microsoft, and Professor and Executive Officer for the California Institute of Technology “
Drawing on his experience from his days as a star teacher at Chicago Booth and his work leading
data science teams at Microsoft and Amazon, Matt Taddy has written a masterful book for MBAs,
scientists, and engineers at modern companies. Weaving together concepts from statistics,
machine learning, and social science, he has written a highly accessible text that is likely to
become the standard in this area.”—GUIDO IMBENS, Professor of Economics at the Stanford
Graduate School of Business, coauthor of Causal Inference for Statistics, Social, and Biomedical
Sciences“ No one is better at combining insights from computer science, economics, and
statistics to improve how businesses use their data. Everyone should read this book.' —
JENS LUDWIG, McCormick Foundation Professor of Social Service Administration, Law and
Public Policy and Director of the University of Chicago’s Crime Lab“ Business Data Science
brings together historically distinct disciplines to tackle a basic business reality: accurate
predictions are not an end in themselves, but a means to taking high-quality actions. It reaches the
current state of the art without requiring a strong data-science background. I recommend it to
anyone interested in putting these ideas to practice.”—JON MCAULIFFE, Cofounder and Chief
Investment Officer at The Voleon Group“ The most exciting data science book I have read in
some time: current, modern, accessible, rigorous—and awesome.” —DIRK
EDDELBUETTEL, R-package author and Clinical Professor of Statistics at University of Illinois

See all Editorial Reviews