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Yankoff, you might want to be more specific. Intro statistics in general, or for computer scientists, or scientists, or looking to learn R at the same time? I l

Yankoff, you might want to be more specific. Intro statistics in general, or for computer scientists, or scientists, or looking to learn R at the same time? I liked Freedman, Pisani, and Purves [1], and have TA'ed using McClave, Sincich, and Mendenhall [2]. You may want something a little more advanced than these, but they are pretty good for intro level. [1]: http://www.amazon.com/Statistics-4th-David-Freedman/dp/0393929728 http://www.amazon.com/Statistics-4th-David-Freedman/dp/03939... [2]: http://www.amazon.com/Statistics-11th-Edition-Book-CD/dp/0132069512/ref=pd_sim_b_2 http://www.amazon.com/Statistics-11th-Edition-Book-CD/dp/013... [3]: http://stats.stackexchange.com/questions/421/what-book-would-you-recommend-for-non-statistician-scientists http://stats.stackexchange.com/questions/421/what-book-would...

yankoff 13y ago
Yeah, I meant something for computer scientists. I'm going over coursera ML course currently and wanted to learn at least basics of statistics in parallel. Thanks, I'll check out your links. Btw, what do you think of OpenIntro statistics?http://www.openintro.org/stat/down/OpenIntroStatSecond.pdf http://www.openintro.org/stat/down/OpenIntroStatSecond.pdf
- christopheraden 13y ago
  You will find the intro books don't talk much about parallel computing. Most of the general data sets in intro books will be no more than 30 observations. They are trying to teach classical methods moreso than useful computational techniques. As for parallel statistics, I don't have a good book recommendation. Most of my knowledge on the topic comes from papers and vignettes from the R community and not books. Maybe check out one of those O'Reilly books about big data techniques? I haven't seen this OpenIntro statistics before. I'll check it out!
- vdm 13y ago
  That OpenIntro pdf looks great! Thanks for the link.
- mattrepl 13y ago
  You may like Wasserman's All of Statistics: http://www.stat.cmu.edu/~larry/all-of-statistics/ http://www.stat.cmu.edu/~larry/all-of-statistics/ It was written as an introduction to statistics for people in CS and related fields.
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yankoff 13y ago

Yeah, I meant something for computer scientists. I'm going over coursera ML course currently and wanted to learn at least basics of statistics in parallel. Thanks, I'll check out your links. Btw, what do you think of OpenIntro statistics?http://www.openintro.org/stat/down/OpenIntroStatSecond.pdf http://www.openintro.org/stat/down/OpenIntroStatSecond.pdf

christopheraden 13y ago
You will find the intro books don't talk much about parallel computing. Most of the general data sets in intro books will be no more than 30 observations. They are trying to teach classical methods moreso than useful computational techniques. As for parallel statistics, I don't have a good book recommendation. Most of my knowledge on the topic comes from papers and vignettes from the R community and not books. Maybe check out one of those O'Reilly books about big data techniques? I haven't seen this OpenIntro statistics before. I'll check it out!
vdm 13y ago
That OpenIntro pdf looks great! Thanks for the link.
mattrepl 13y ago
You may like Wasserman's All of Statistics: http://www.stat.cmu.edu/~larry/all-of-statistics/ http://www.stat.cmu.edu/~larry/all-of-statistics/ It was written as an introduction to statistics for people in CS and related fields.

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