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
Content preview from Marketing Data Science: Modeling Techniques in Predictive Analytics with R and PythonBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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.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.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.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.
D. Code and Utilities
Doing marketing data science with R means looking for task views posted with the Comprehensive R Archive Network (CRAN). We go to RForge and GitHub. We read package vignettes and papers in The R Journal and the Journal of Statistical Software. At the time of this writing, the R programming environment consists of more than 5,000 packages, many of them focused on modeling methods. Useful general references for learning R include Fox and Weisberg (2011), Matloff (2011) and Wickham (2015). Chambers and Hastie (1992) and Venables and Ripley (2002), although written with S/SPlus in mind, remain critical references in the statistical programming community.
Doing marketing data science with Python means gathering programs and documentation ...
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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.
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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.