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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Format: | Book |
Language: | English |
Published: |
New York
McGraw-Hill Education
2019
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Edition: | Print book : English |
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Online Access: | Click Here to View Status and Holdings. |
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001 | wils-968347 | ||
005 | 2021018143255 | ||
008 | t2019 -US #g# ##001 ##eng#D | ||
020 | # | # | |a 9781260452778 |q hardback |
040 | # | # | |a OCLC |b eng |c OCLC |d UiTM |e rda |
041 | 0 | # | |a eng |
090 | 0 | 0 | |a HD30.23 |b .T33 2019 |
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 |
964 | # | # | |c BOK |d 01 |