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You want to read either Elements of Statistical Learning (2nd ed.) OR Kevin Murphy's ML book for the theory. Then you will want to consult a text book in your
by jll29 6y ago
You want to read either Elements of Statistical Learning (2nd ed.) OR Kevin Murphy's ML book for the theory.
Then you will want to consult a text book in your work domain (e.g. introduction to speech & language OR statistical natural language processing for the domain of natural language processing).
And finally, you will want either a book, or free online Web resources/tutorial videos that show you how to do things in practice, given a particular programming language and tool-set (e.g. Python + TensorFlow, Java + DeepLearing4J).
This recipe of Theory + Application + Practice/Tools should get you there.
- jll29 6y agoBTW, it is okay to read stuff in parallel, and to take a non-linear approach to learning. Also people have different preferences for textbook styles, and they vary regarding pre-existing background knowledge.