BUSINESS DATA SCIENCE Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions

"Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Use machine learning to understand your customers, frame decisions, and drive value The business ana...

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Bibliographic Details
Main Author: Taddy, Matt (Author)
Format: Book
Language:English
Published: New York McGraw-Hill Education 2019
Edition:Print book : English
Subjects:
Online Access:Click Here to View Status and Holdings.
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020 # # |a 9781260452778  |q hardback 
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100 1 # |a Taddy, Matt  |e author 
245 0 0 |a BUSINESS DATA SCIENCE  |b Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions  |c Matt Taddy 
250 # # |a Print book : English 
264 # 1 |a New York  |b McGraw-Hill Education  |c 2019 
264 # 4 |c ©2019 
300 # # |a xii, 331 pages  |b illustrations  |c 25 cm 
336 # # |a text  |2 rdacontent 
337 # # |a unmediated  |2 rdamedia 
338 # # |a volume  |2 rdacarrier 
500 # # |a Includes index 
505 0 # |a 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 
520 # # |a "Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Use machine learning to understand your customers, frame decisions, and drive value The business analytics world has changed, and Data Scientists are taking over. Business Data Science takes you through the steps of using machine 
526 0 # |a CS779 Sarjana Sains Data  |b Sarjana Sains Data  |5 CS Fakulti Sains Komputer Dan Matematik 
546 # # |a In English 
650 # # |a BUSINESS & ECONOMICS / General 
650 # # |a Decision making  |x Econometric models 
650 # # |a Machine learning 
856 4 0 |z Click Here to View Status and Holdings.  |u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=968347 
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