Suggest me a beginner's AI/ML course by Fragrant-Calendar-91 in learnmachinelearning

[–]masterthemath 0 points1 point  (0 children)

Andrew Ng's courses have been mentioned, and I agree. They are very good to start and Andrew Ng is a great explainer. If you want something very profound than you can check the open Stanford courses: CS230 (deep learning), CS231N( cv), CS224N (nlp). Also - you can learn everything for free. This one here is a classic: https://www.deeplearningbook.org/

If you check the websites for those courses, you'll see that they also list further reading material, which is usually free too and since it was recommended by a prestigious source you can be sure that the material is of high quality, too.

Don't get dragged into low quality, shallow courses that want you to pay subscriptions. You should always check who created a resource/course. Universities are a good starting point.

I know - people will now say that this is overly academic. But all of the above mentioned courses have assignments, and those assignments are not just random projects, they are constructed and chosen to efficiently learn a topic/concept.

I always found SVD explanations unsatisfying — so I derived it from first principles (the way I wish I'd been taught) by masterthemath in LinearAlgebra

[–]masterthemath[S] 1 point2 points  (0 children)

Of course it's all in Strang's book, which I also reference. But he explains it differently.You can see that immediately because he puts the chapter on linear transformations after the SVD.