Submitted by em_Farhan t3_zz7gnk in MachineLearning
HateRedditCantQuitit t1_j29yn1r wrote
First, learn foundations. Linear algebra, vector calculus, probability, statistics. Try going through Kevin Murphy's books. They're relatively self contained. If you reach a dependency that they don't cover, pick up a textbook on it.
ID4gotten t1_j2a246h wrote
50 textbooks later...
Phoneaccount25732 t1_j2a6cxn wrote
Linear algebra can be skipped IMO.
import_social-wit t1_j2al0gn wrote
Fully agree with everything but Murphy’s book. I enjoy it as a reference, but it’s a poor initial introduction to ML as I found it needs some external “structure” to link ideas across chapters.
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