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Business data science : combining machine learning and economics to optimize, automate, and accelerate business decisions

Author: Matt Taddy
Publisher: New York : McGraw-Hill Education, [2019] ©2019
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Taddy, Matt.
Business data science.
New York : McGraw-Hill Education, 2019
(DLC) 2018052621
(OCoLC)1055264877
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Matt Taddy
ISBN: 9781260452785 1260452786
OCLC Number: 1112609059
Description: 1 online resource (1 volume) : illustrations
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
Responsibility: Matt Taddy.

Abstract:

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 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: •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 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.

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