May 2015
Beginner to intermediate
225 pages
13h 46m
English
book
Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python
by Thomas W. Miller
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Bibliography
Aaker, D. A. (ed.) 1971. Multivariate Analysis in Marketing. Belmont, Calif.: Wadsworth.
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Ackland, R. 2013. Web Social Science: Concepts, Data and Tools for Social Scientists in the Digital Age. Los Angeles: Sage.
Agar, M. H. 1996. The Professional Stranger: An Informal Introduction to Ethnography (second ed.). New York: Academic Press.
Agrawal, R., H. Mannila, R. Srikant, H. Toivonen, and A. I. Verkamo 1996. Fast discovery of association rules. In U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy (eds.), Handbook of Data Mining ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.