November 2017
Beginner to intermediate
366 pages
7h 59m
English
Content preview from R Data Analysis Projects
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Factor-based models
Factor-based models leverage matrix decomposition techniques to predict recommendations for unrated items.
A model using funkSVD from recommenderlab is shown here:
> plan <- evaluationScheme(data, method="cross", train=0.9, given = 10, goodRating=5)> results <- evaluate(plan, method = "SVDF", type = "topNList", n = c(5,10,15) )SVDF run fold/sample [model time/prediction time] 1 [31.933sec/2.148sec] 2 [29.701sec/1.405sec] 3 [31.053sec/1.534sec] 4 [30.957sec/1.323sec] 5 [31.157sec/1.321sec] 6 [30.675sec/1.306sec] 7 [30.701sec/1.508sec] 8 [30.479sec/1.283sec] 9 [31.163sec/1.354sec] 10 [31.164sec/1.328sec] > avg(results) TP FP FN TN precision recall TPR FPR5 1.358667 3.641333 14.19933 70.80067 0.2717333 0.1047871 ...
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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.