[tridenrake]

I guess his point is to tackle it from a top-down approach. For me, that's how I am breaking ground in my ML study. I tried Andrew Ng's course, I didn't understand a thing.

Then I tried Kaggle's mini-course. It kickstarted me into ML and motivated me to learn the theory as I go. For example, when I got to apply Random Forest Regressor, I went to Wikipedia and tried to read on it. Got some idea. And the progress is good.

Maybe for some of us, I think top-down is motivating and makes the learning process enjoyable.

[frequentnapper]

Same here. I tried Andrew Ng's course a few times ever since it launched a few years back but I could only get through half of it. Fast ai makes more sense to me and I've picked up a decent amount of concepts where I can now go back and feel confident enough to tackle theory.