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

Geoff Hulten 8 views

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@stephenwood4814
 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


@sonjoysengupto
 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


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


@kevinchaplin672
 great overview
Comment from : @kevinchaplin672


@dragon5038
 Best Playlist ever
Comment from : @dragon5038


@inaammuaz2284
 Thank you!
Comment from : @inaammuaz2284


@ratheerapazhanichamy
 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


@gbengafabusola28
 Bookmark
Comment from : @gbengafabusola28


@AliAdilg
 🙌
Comment from : @AliAdilg


@mohitseventeen
 Best Playlist ever
Comment from : @mohitseventeen


@bugontheice
 I LOVE THIS!
Comment from : @bugontheice


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


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

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