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

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

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


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Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions Summary

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

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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.

About Matt Taddy

Matt Taddy is a Chief Economist at Amazon and Professor of Econometrics and Statistics at the University of Chicago Booth School of Business. He is a fellow of the Computation Institute and a Principal Researcher at Microsoft Research New England.

Table of 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

Additional information

CIN1260452778G
9781260452778
1260452778
Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions by Matt Taddy
Used - Good
Hardback
McGraw-Hill Education
2019-08-18
352
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in good condition, but if you are not entirely satisfied please get in touch with us

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