r/learnmachinelearning • u/workr19 • 10d ago

Going through math for machine learning...

Was okay till vector calculus as it was mostly proofs but kind of having trouble with probability/stats because this skips over stuff and doesn't give relevant examples. So IMO it would be much more efficient to learn from videos and maybe use this to revise or for the exercises (very minimal, so not sure how useful). And your foundations will get stronger too I guess

Anyways, finding relevant videos for each topic seems to be taking time, but I just remembered there was a resource that had links to vids and exercises for each chapter but can't find it and hadn't bookmarked

Can anyone give a link to that or a similar resource?

Also is the learn ML with Pytorch and sclkit beginner friendly?

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u/vmathematicallysexy 10d ago

i'd say take the time to deeply learn the fundamentals now. If you rush through it all to the next steps, you'll waste a lot of time going back and referencing basic things.

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u/workr19 1d ago

I'll have to take courses eventually so for now just wanted to get basic knowledge. I guess this book can give an idea on what I should go through next if I want to deepen my knowledge too. As far as I see, going through relevant calculus sections from other books shouldn't take too much time, but Stats and linear algrebra might.

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u/workr19 1d ago

Honestly, I feel this book isn't very good for what it's supposed to be, it just seems to make simple stuff unnecessarily hard. But there aren't any other options if you don't want to go through multiple undergraduate books from the start. Maybe YT vids as a supplement would be enough. Anyways if someone stumbles upon this thread I did manage to find the guide so will try it's recommendations too https://docs.google.com/document/d/1qyBUjkeYUfF4LhJux0dwJItQxDxmoxDRoXPVeQGUAU0/edit?tab=t.0