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Machine Learning Course - 1. Overview of Machine Learning (Lecture 1 of 23)

Frames Machine Learning Course - 1. Overview of Machine Learning (Lecture 1 of 23)

Description Machine Learning Course - 1. Overview of Machine Learning (Lecture 1 of 23)

Comments Machine Learning Course - 1. Overview of Machine Learning (Lecture 1 of 23)

This is a wonderful introduction Completely new to ML, I watched it twice, and the lights are coming on Look forward to continuing through the course These explanations are excellent Comment from : @stephenwood4814

it is hard to be a PhD on this subject, and it is even harder to teach the subject so lucidly to absolute newbies respect and thanks a lot for teaching me what I have been looking to learn all through over the last few years about this subject, Sir🙏 Comment from : @sonjoysengupto

Tyyyy so much hopefully i can make smothing out of this 😅 Comment from : @AxelPeter

great overview Comment from : @kevinchaplin672

Best Playlist ever Comment from : @dragon5038

Thank you! Comment from : @inaammuaz2284

im a fresher out of higher secondary, searching to pick a carrerwilling to purse ai as carrerbut could not understand the exact difference between programming and machinelearningsearched a lot in internet and thouht a lot about it but u explained in a crazy way which is my prefered waythanks Comment from : @ratheerapazhanichamy

Bookmark Comment from : @gbengafabusola28

🙌 Comment from : @AliAdilg

Best Playlist ever Comment from : @mohitseventeen

I LOVE THIS! Comment from : @bugontheice

Comment to feed youtube's recommendations algorithm Comment from : @nie_julka

The variance equation for linear combinations of random variables applies to dot products (noise sensitivity) Comment from : @hoaxuan7074

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