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Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions - Couverture rigide

Taddy, Matt

 
9781260452778: Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions
Couverture rigide
ISBN 10 : 1260452778 ISBN 13 : 9781260452778
Editeur : McGraw-Hill Education, 2019

Synopsis

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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.

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À propos de l'auteur

Matt Taddy was from 2008-2018 a Professor of Econometrics and Statistics at the University of Chicago Booth School of Business, where he developed their Data Science curriculum. Prior to and while at Chicago Booth, he has also worked in a variety of industry positions including as a Principal Researcher at Microsoft and a research fellow at eBay. He left Chicago in 2018 to join Amazon as a Vice President.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
McGraw-Hill Education
Date d'édition
2019
Langue
anglais
ISBN 10 
1260452778
ISBN 13 
9781260452778
Reliure
Relié
Nombre de pages
352
Coordonnées du fabricant
non disponible
Personne responsable
gpsr@libri.de
gpsr@libri.de

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