Reddit reviews Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
We found 3 Reddit comments about Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems). Here are the top ones, ranked by their Reddit score.
I really liked the Witten & Frank book (we used it in my intro to machine learning class a few years ago.) It's probably showing its age now, though - they're due for a new edition...
I'm pretty sure The Elements of Statistical Learning is available as a PDF somewhere (check /r/csbooks.) You may find it a little too high-level, but it's a classic and just got revised last year, I think.
Also, playing around with WEKA is always fun and illuminating.
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'Artificial Intelligence: A Modern Approach' (it has machine learning and maybe less, datamining) is all I've used (besides Mitchell's one, that I'm anti-recommending), so I can't positively recommend any new ones. But there are several new titles. I'd try reading around the web to get an overview (or borrow one, even Mitchell's, from a library). Then, when you believe you know better what you're looking for look at books. I mean I could randomly pick one of the newer ones on Amazon but that's what it'd be. Chris Bishop (mentioned in the other reply) is a good writer + smart guy, I've been meaning to get that book of his; he's probably a safe bet but, reading around on the web first can't hurt either. The Weka-using datamining book might be an easy place to start, it's got a complete Java toolkit (which you can download free independently), Chris Bishop's book looks advanced. I might say Wikipedia but it doesn't look that helpful.