October 2016
Intermediate to advanced
654 pages
22h 41m
English
We have seen the basic ideas of several machine learning methods and studied in detail how to assess their performance on practical data mining problems. Now we are well prepared to look at more powerful and advanced machine learning algorithms. Our aim is to explain these both at a conceptual level and with a fair amount of technical detail, so that you can understand them fully and appreciate the key implementation issues that arise.
There are substantial differences between the simple methods described in Chapter 4, Algorithms: the basic methods, and the more sophisticated algorithms required to achieve state-of-the-art performance on many real-world problems, but the principles are the same. ...
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