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I've gone through this book. I found it useful for theory, but not useful for gaining an appreciation of how the models work in practice. Most practitioners wil
by eykanal 14y ago
I've gone through this book. I found it useful for theory, but not useful for gaining an appreciation of how the models work in practice. Most practitioners will appreciate a more applied book than this one.
- achompas 14y agoAgreed. Any suggestions for those applied books? I haven't found any yet.
- nwenzel 14y agoI found Machine Learning for Hackers to be good as a practical, case study based book for learning to apply and understand what is going on in several machine learning problems. http://shop.oreilly.com/product/0636920018483.do http://shop.oreilly.com/product/0636920018483.do http://www.amazon.com/Machine-Learning-for-Hackers-ebook/dp/B007A0BNP4/ http://www.amazon.com/Machine-Learning-for-Hackers-ebook/dp/... It's definitely a practical approach. There's a lot of explanation but, despite coming from two PhD candidates, it certainly did not read like an academic paper. It's also case study based, not necessarily algorithm based. As a bonus, I used that book to teach myself R. I don't think it's meant to be an intro to R tutorial, but it worked for me. All three are positives in my book.
- davidf18 14y agoA good practical book is Machine Learning in Action" http://www.amazon.com/dp/1617290181/ http://www.amazon.com/dp/1617290181/
- atrilla 14y agoYep, Pattern Classification by Duda, Hart and Stork: http://www.amazon.com/Pattern-Classification-2nd-Richard-Duda/dp/0471056693 http://www.amazon.com/Pattern-Classification-2nd-Richard-Dud... It is very pragmatic, including algorithms for many machine learning and artificial intelligence topics (from fitting functions for classification or regression purposes to search processes). The authors have a strong industrial background (in addition to the academic).