Machine learning
by Peter A. Flach · first published 2012
25% recommend75% neutral
'Machine Learning' brings together all the state-of-the-art methods for making sense of data. With hundreds of worked examples and explanatory figures, it explains the principles behind these methods in an intuitive yet precise manner and will appeal to novice and experienced readers alike.
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I really liked Peter Flach - Machine Learning. I think it's really well versed and not as aged as AIMA
on “Understanding Machine Learning: From Theory to Algorithms” ↗I unfortunately don't know too many others. I have this book as well: http://www.amazon.com/Machine-Learning-Science-Algorithms-Se... and because I'm so far removed from any academic math study now in my life, by about page 3 I was lost. My plan is to dive into Linear Algebra and Statistics book and courses…
on “Surviving Data Science at the Speed of Hype” ↗Currently reading: * Machine Learning - Peter Flach * Guns, Germs, and Steel - Jared Diamond * Dune ( for the third time, I love it :) ) - Frank Herbert I usually read some of pg's, sama's, avc's or some other prominant essayist in the…
on “Ask HN: Which book are you reading these days?” ↗…recognition tools, ML in the presence of lots of noise, and unsupervised learning. I don't own PGM, but it probably wouldn't help much in these matters either. I know guys who are probably level 4 at machine learning who don't know about most of these subjects. On the other hand, Peter Flach's book "Machine Learning" at least mentions them and makes pointers to other resources. "Deep learning" is becoming kind of…
on “Level-Up Your Machine Learning” ↗