[rg111]

Jeremy Howard came off as anti-intellectual to me. He is always like "oh math is nothing... you do not need math... math is not needed" and stuff like that.

Other than that, fast.ai is a great resource, and Jeremy Howard is a great instructor.

You will learn very practical tools and tricks, and a lot of recent research is demystified, but don't expect to achieve deep, general insights.

Also, fast.ai is a very very limited and poor library compared to PyTorch, JAX, TF, etc.

Programming, design, and architecture decisions are outright terrible.

I got paid to write fast.ai in one job. I still have nightmares. I never did it again.

But it is a nice learning resource.

[saynay]

I wouldn't say Jeremy is anti-intellectual, but he does know that a lot of people get turned off from the AI field because they are afraid of the math, and a lot of other courses (used to?) start with the math. So he makes sure early and often to tell people that you don't need to understand the math that is happening deep under the hood in order to do productive, even state-of-the-art, research with AI.

[vasili111]

What is the required math for starting Ng course?

[saynay]

An understanding of linear algebra and calculus would be useful, but I don't remember it being required.

I was more referring to other resources/classes I had looked at, besides Ng's course or FastAI.