you’ll never escape ML tutorial hell (until you learn this)

[@gptLearningHub]

More Resources! Math Review For ML: kzbin.info/www/bejne/hYqtmXWgo7GjZqs How ML Models Learn: kzbin.info/www/bejne/mJO8laSaa9yYo6s Linear Regression Explained: kzbin.info/www/bejne/aKeoZHenjMl4jtE Neural Networks Explained: kzbin.info/www/bejne/rovGgId3f5KbbNk First-Principles Framework (Learn Fundamentals): bit.ly/4hZyK0H Beginner's Blueprint (Build Projects): bit.ly/3YX0Xwv

[@boldizsarszabo]

Love the stuff! Any chance you can cover resnets, pointnets?

[@zifols9551]

its 4am and i just woke up and i seeing this magical video that was very helpful thanks

[@gptLearningHub]

Glad you found this useful :)

[@neduwashere]

Nice

[@shaistasheikh5184]

Can you make a whole roadmap video in detail like start with python go to pandas then numpy so on also mentioned where did you learn this as self-taught coz I am the one.... Also I feel like I am learning not enough and fast recently

[@ozgurdenizcelik]

Don't you think you got a little bit repetitive. I mean you've always mentioning gradient descent. I know it's important but i mean maybe explain ViT someday or i don't know

[@gptLearningHub]

@@ozgurdenizcelik I have a video on the basics of ViT here! kzbin.info/www/bejne/a52TY6Vpr7qpd9ksi=tpScCDZjfPrUlh5Y

[@gptLearningHub]

@@ozgurdenizcelik I appreciate the feedback though. And a longer video on ViT is on the to do list!

[@ozgurdenizcelik]

@@gptLearningHub I think my comment deleted because of link anyways thanks for advices and information i really appreciate that .

[@codewithmathew04]

Great video! I was wondering if you can respond back to the email I sent you? Thanks a lot!