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Business Data Science : Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions / Matt Taddy.

McGraw-Hill's AccessEngineering Available online

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Format:
Book
Author/Creator:
Taddy, Matt, author.
Series:
McGraw-Hill's AccessEngineeringLibrary.
McGraw-Hill's AccessEngineeringLibrary
Language:
English
Subjects (All):
Decision making--Econometric models.
Decision making.
Machine learning.
Genre:
Electronic books.
Physical Description:
1 online resource
Edition:
First edition.
Place of Publication:
New York, N.Y. : McGraw Hill LLC, [2019]
Language Note:
In English.
Contents:
Cover
Title Page
Copyright Page
Dedication
Contents
Preface
Introduction
1 Uncertainty
2 Regression
3 Regularization
4 Classification
5 Experiments
6 Controls
7 Factorization
8 Text as Data
9 Nonparametrics
10 Artificial Intelligence
Bibliography
Index.
Notes:
Includes bibliographical references and index.
Electronic reproduction. New York, N.Y. : McGraw Hill, 2019. Mode of access: World Wide Web. System requirements: Web browser. Access may be restricted to users at subscribing institutions.
Description based on e-Publication PDF.
Other Format:
Print version: Business Data Science : Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions.
ISBN:
9781260452785 (e-ISBN)
1260452786 (e-ISBN)
OCLC:
1112609059
Access Restriction:
Restricted for use by site license.

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