Machine Learning Lecture 19 'Bias Variance Decomposition' -Cornell CS4780 SP17

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Man, its such a privilege being able to watch stuff like this.

thecactus

This man is one of the best professor I have ever seen. Thanks a lot for this lecture series.

filippovannella

I searched extensively for good content on Machine learning, and by God's grace I found one! Thank you Prof Weinberger.

tarunluthrabk

Due to the Covid crisis the professors at my University went on a strike for most of the semester, so my ML class got ruined. Fortunately I found your lectures, and I've been following through the last months. I have to say this is the most thorough introductory course to ML that I've found out there. Thank you very much, prof. Killian, for making your lectures available for everyone. You're working towards a freer and better world by doing so.

jorgeestebanmendozaortiz

Thank you prof. Weinberger for making educational fairness to the people from the thrid world countries like me. who can not afford to study in one of the world's class universities like Cornell. Wish you healthy and happy in your entrie life.

xwcao

Your ability to uncover insights behind all those mathematical formulas is superb. I really like the way you teach. Thank you for uploading this

ebiiseo

I was familiar with these concepts before watching this lecture, but now I feel like I actually understand what bias and variance mean. Thank you so much for explaining these so well!

jachawkvr

I’m using what I’ve learned here to try improving people’s lives. I’m a data scientist in healthcare and a former radiology researcher.
Thank you for sharing this freely.

juliocardenas

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yuniyunhaf

that's the clearest exposition of bias-variance decomposition I've ever seen (and i've seen quite a few). by far

deltasun

this is absolutely gold. was so confused by reading An Introduction to Statistical Learning because they give no explanation of how they get bias variance tradeoff, and i found this!

kevinshen

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MohamedTarek-vtlb

This was super helpful for my own classwork. Thank you so much for posting your lectures publicly!

psfonseka

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rajeshs

Me: Machine learning is a black box, the math is too abstract, and nothing really makes sense

Professor Weinberger: Hold my beer

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jenishah

Best vedio on Bias-Variance Decomposition ❤

vishnuvardhan

An amazing lecture !! makes things very clear .

sans

It's such an amazing lecture! I've never thought each trained trained ml model itself as a random variable before and this is really eye opening

crystinaxinyuzhang

I don’t usually comment anywhere. But I can’t help say a thanks to you. Such a great teaching skill!

sheikhshafayat

Machine Learning Lecture 19 'Bias Variance Decomposition' -Cornell CS4780 SP17

Machine Learning Lecture 19 'Bias Variance Decomposition' -Cornell CS4780 SP17

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