Business data science: combining machine learning and economics to optimize, automate, and accelerate business decisions (Record no. 214417)

000 -LEADER
fixed length control field 02331aam a2200193 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200228b2019 ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781260452778
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.4033
Item number T2B8
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Taddy, Matt
9 (RLIN) 394301
245 ## - TITLE STATEMENT
Title Business data science: combining machine learning and economics to optimize, automate, and accelerate business decisions
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc McGraw Hill Education
Date of publication, distribution, etc 2019
Place of publication, distribution, etc Chicago
300 ## - PHYSICAL DESCRIPTION
Extent xii, 331 p.
Other physical details Includes bibliographical references and index
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Table of contents<br/><br/>Preface<br/>Introduction<br/>1 Uncertainty<br/>2 Regression<br/>3 Regularization<br/>4 Classification<br/>5 Experiments<br/>6 Controls<br/>7 Factorization<br/>8 Text as Data<br/>9 Nonparametrics<br/>10 Artificial Intelligence<br/>Bibliography<br/>Index<br/><br/>
520 ## - SUMMARY, ETC.
Summary, etc The business analytics world has changed, and Data Scientists are taking over. Business Data Science takes you through the steps of using machine learning to implement best-in-class business data science. Whether you are a business leader with a desire to go deep on data, or an engineer who wants to learn how to apply Machine Learning to business problems, you’ll find the information, insight, and tools you need to flourish in today’s data-driven economy. You’ll learn how to: <br/>• Use the key building blocks of Machine Learning: sparse regularization, out-of-sample validation, and latent factor and topic modeling• Understand how use ML tools in real world business problems, where causation matters more that correlation• Solve data science programs by scripting in the R programming language<br/>Today’s business landscape is driven by data and constantly shifting. Companies live and die on their ability to make and implement the right decisions quickly and effectively. Business Data Science is about doing data science right. It’s about the exciting things being done around Big Data to run a flourishing business. It’s about the precepts, principals, and best practices that you need know for best-in-class business data science. <br/><br/>https://www.mheducation.co.uk/business-data-science-combining-machine-learning-and-economics-to-optimize-automate-and-9781260452778-emea#tab-label-product-description-title
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
9 (RLIN) 394302
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Decision making
9 (RLIN) 394303
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Econometric models
9 (RLIN) 394304
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent location Current location Shelving location Date acquired Source of acquisition Cost, normal purchase price Item location Total Checkouts Total Renewals Full call number Barcode Date last seen Date last borrowed Cost, replacement price Koha item type
          Non-fiction Vikram Sarabhai Library Vikram Sarabhai Library General Stacks 02/03/2020 7 2.00 Slot 2052 (2 Floor, East Wing) 1 1 658.4033 T2B8 201563 18/09/2020 15/05/2020 3000.00 Books

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