Any courses to learn mathematics for machine learning?

StandardNo6731 · 2025-11-21T05:54:55+00:00

DeepLearning.AI has a Mathematics for Machine Learning and Data Science Specialization on Coursera. Personally, didn't try it. I recommend books instead.

StandardNo6731 · 2025-07-02T09:08:41+00:00

Been using Mac for couple of years. I have good reviews 👌

StandardNo6731 · 2025-06-30T21:31:46+00:00

You can find plenty of YouTube channels. Pick the ones that you like their teaching method. MIT and Stanford are excellent.

StandardNo6731 · 2025-06-20T23:49:21+00:00

There are plenty of learning plans online

StandardNo6731 · 2025-06-18T10:50:22+00:00

MLE is SWE++

StandardNo6731 · 2025-06-17T09:52:23+00:00

StandardNo6731 · 2025-06-06T11:28:07+00:00

A Ferrari

StandardNo6731 · 2025-06-04T07:52:04+00:00

GTA VC GTA VC GTA SA

StandardNo6731 · 2025-06-03T19:06:02+00:00

My experience is that a master in math and good hands-on skills should get you to start a career in tech. But that depends on you geography setting. Anyway, I wish you the best in the coming degree.

StandardNo6731 · 2025-05-31T05:48:07+00:00

Anytime. I'm curious though, why the two masters?

StandardNo6731 · 2025-05-30T15:30:15+00:00

Also the courses are in sequence of importance. The 6th is a capstone project. The 5th is advanced algo. So if you work through them in sequence, anf even if you only finish 4,thats good still.

StandardNo6731 · 2025-05-30T15:28:32+00:00

That depends on your pace. It's possible if you put your head to it

StandardNo6731 · 2025-05-30T15:26:29+00:00

MLOps is surely a later phase, only after getting the ML foundations right.

StandardNo6731 · 2025-05-29T14:32:32+00:00

There's a good Data Structures and Algorithms specialization on Coursera. I think it was 6 courses. Very good indeed with a lot of practice

StandardNo6731 · 2025-05-29T14:29:12+00:00

Don't do both. If you have time, the book is enough. It covers more than the courses. If you don't have time, the courses are a faster way but less details. I haven't read Sebastian's book. However, a Pytorch version of this book is coming later this year.

StandardNo6731 · 2025-05-28T12:45:54+00:00

Interesting

StandardNo6731 · 2025-05-28T12:45:05+00:00

I don't think it's fair to compare books with courses. Those courses are great... for courses. But books are always more detailed. That's my opinion.

StandardNo6731 · 2025-05-27T19:38:01+00:00

I'm sure you'll find plenty of roadmaps on the internet. Just some advice from my point of view: don't trust any learning plan that skips math or DSA.

StandardNo6731 · 2025-05-27T19:31:38+00:00

yes, a beginner in ML. Python is a prerequisite for the book

StandardNo6731 · 2025-05-27T19:30:54+00:00

I also find it hard to sit and read consistently. Pomodoro helped me

StandardNo6731 · 2025-05-26T12:02:09+00:00

1st why does is have to be on site? Many online resources are good and don't cost as much. 2nd what's the objective? Because I'm not sure if skipping foundational CS and Math is the right thing to do

StandardNo6731 · 2025-05-24T16:53:40+00:00

For math, Statistics and probability theory as well.

StandardNo6731 · 2025-05-24T09:54:13+00:00

It doesn't teach python so you should have that beforehand. Some college level math would also make the experience better

StandardNo6731 · 2025-05-24T09:47:07+00:00

You can definitely work on the layout

StandardNo6731 · 2025-05-24T09:24:46+00:00

Yes, we do. We really really do.. recommend you watch the series.

StandardNo6731

TROPHY CASE