Business Data Science Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions BUSINESS BOOKS Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions

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  • Engels
  • Hardcover
  • 9781260452778
  • 18 augustus 2019
  • 352 pagina's
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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.

Productspecificaties

Inhoud

Taal
en
Bindwijze
Hardcover
Oorspronkelijke releasedatum
18 augustus 2019
Aantal pagina's
352
Illustraties
Nee

Betrokkenen

Hoofdauteur
Matt Taddy
Hoofduitgeverij
Mcgraw-Hill Education

Overige kenmerken

Editie
ed
Extra groot lettertype
Nee
Product breedte
198 mm
Product hoogte
28 mm
Product lengte
241 mm
Studieboek
Ja
Verpakking breedte
190 mm
Verpakking hoogte
34 mm
Verpakking lengte
238 mm
Verpakkingsgewicht
1280 g

EAN

EAN
9781260452778

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