Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions
Language: English
Published by McGraw Hill, 2019
- Hardcover
- Used

Seller: Evergreen Goodwill, Seattle, WA, U.S.A.Evergreen Goodwill
AbeBooks seller since November 7, 2006
Condition: Used - Good
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- Title
- Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions
- Author
- Taddy, Matt
- Publisher
- McGraw Hill
- Publication year
- 2019
- Condition
- Good
- Binding
- hardcover
- Language
- English
- ISBN 10
- 1260452778
- ISBN 13
- 9781260452778
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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About the Author
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Evergreen Goodwill
Seattle, WA, U.S.A.
AbeBooks seller since November 7, 2006
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