A Super Harsh Guide to Machine Learning

by u/thatguydr

• First, read f!@%ing Hastie, Tibshirani, and whoever. Chapters 1-4 and 7-8. If you don’t understand it, keep reading it until you do. You can read the rest of the book if you want. You probably should, but I’ll assume you know all of it. (If you’re struggling, start here.)

• Take Andrew Ng’s Coursera. Do all the exercises in python and R. Make sure you get the same answers with all of them. (Also finish the tutorials in Datacamp.)

• Now forget all of that and read the deep learning book. Put tensorflow and pytorch on a Linux box and run examples until you get it. Do stuff with CNNs and RNNs and just feed forward NNs.

• Once you do all of that, go on arXiv and read the most recent useful papers. The literature changes every few months, so keep up.

• There. Now you can probably be hired most places. If you need resume filler, do some Kaggle competitions. If you have debugging questions, use StackOverflow. If you have math questions, read more. If you have life questions, I have no idea.