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Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python (FT Press Analytics)

Thomas W. Miller




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 | #121995 in Books |  imusti |  2015-05-22 | Original language:English | PDF # 1 |  9.10 x1.50 x7.10l,.0 | File type: PDF | 480 pages

 | Pearson FT Press

||0 of 0 people found the following review helpful.| Great value|By Shanemeister|Very good book, well written, and the best pas, as with all of Miller's books that I have purchased, is that it comes with real code examples in both Python and R. Great way to get up and running.|0 of 0 people found the following review helpful.| Second to none|By LUIZ SA LUCAS|If you want to have j|From the Back Cover|To solve real marketing problems with predictive analytics, you need to master concepts, theory, skills, and tools.|Now, one authoritative guide covers them all. | | Marketing Data Science brings together the knowledge you need

Now , a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in the context of real-world applications.

 

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