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[READ PDF] EPUB Business Data Science: Combining Machine Learning and Economics to

Optimize, Automate, and Accelerate Business Decisions READ PDF EBOOK

[READ PDF] EPUB

Business Data

Science: Combining

Machine Learning and

Economics to

Optimize, Automate,

and Accelerate

Business Decisions

READ PDF EBOOK

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

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