November 2017
Beginner
286 pages
8h 13m
English
book
Statistics for Data Science
by James C. Mott, Rajprasath Subramanian, Shaikh Salamatullah, James D. Miller, Vijayakumar Ramdoss
Content preview from Statistics for Data Science
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R and statistical regression
Before we jump right into our modeling, let's take a moment to validate the use of R as our statistical modeling tool.
R is an open-source statistical environment and a powerful programming language that continues to be one of the most popular choices for statistical modeling. Modeled after S and S-Plus, R has an ever-growing, widespread audience as is well maintained by the R core-development team (an international team of volunteer developers).
R and many related resources can easily be found online along with detailed directions for downloading the software, accompanying packages and other sources of documentation. In addition, there are a ton of specialized routines that have been written for R by people all ...
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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.