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9:50 the question asked was wrong because why would you classify the same feature again ? it produces same results so no use

amazing class and students

Thank you so much prof for these lectures. exam's dropbox is empty can you please reupload them?

Besides super clear explanations, Professor Weinberger is hilarious. But this lecture, he took a next level as a stand up comedian! Thank you! It is just therapeutic to take your class while getting my brain rejuvenated. I can tell Professor Weinberger took lots of heart and efforts at how to make students understand by using so many good practical examples. Thank you so much being a great teacher!

One more reminder about the importance of studying math. He is very enthusiastic, probably spent years at academia but poor math foundations reveals itself in each of his lectures.

In the last video, the professor called an outlying point a sucker. In this class, he cited the problem of house price prediction and Bill Gates. I really like my own association.

Thank you so much , you have no idea sure how much this is so helpfull <3 , Sir.

I really suggest that all universities in the United States use Kilian's MOOC directly, but only pause during the hand-raising session for teachers to answer students' questions. If this is very damaging to self-esteem, in order to teach students well, please ask teachers from other schools to at least watch Kilian's video first.

What if σ^2 is not a constant, for example, σ is smaller at points close to zero and larger at points farther away?

Wow Amazing ... ❤

Amzing ..❤

Big thanks to the professor , world needs lot of such professors .

Coolest guy ever !!

I have been a [senior] applied scientist at places like Amazon & Microsoft. Have been studying ML for 12 years and 7+ years industry experience at big tech. What are the chances I get into cornell PhD program? In terms of fluency I can read 80-90% PML : an introduction by Kevin Murphy in 3-4 weeks.

goated

watching backwards and happy to see printer working :)

I have been studying ML for last 12 years and I endorse as a learner that this course is one of the best classical ML introductory course.

I have a prediction to make, " If the classroom has one the boards which u know move up and down, and the prof uses it over Projector, the class is going to be awesome." Thanks Dr. Kilian for the whole series.

Thanks for showing the pure beauty of math underlying beneath these ML concepts. My goal is to finish this playlist by the end of 2024! Thanks a Kilian, from Azerbaijan!

Thanks Prof. Kilian. Extremely precise, compact and yet rigorous. Phenomenal resource not only for students but also for other researchers and practioners of ML. Enormously grateful for your efforts in sharing deep insights in an elementary and accessible manner.

Kilian is amazing

you are like a gift from Nature <3 .

Goat prof

5:57 - boundary point can be assigned to any one group. but it may change if we restart the dbscan model. does it affect the model?

<3

This is cool!

Amazing lecture.

34:52 very interesting point!

👍

I will start my machine learning journey, I have the knowledge of stat , calculus, linear algebra.Should I follow this series?. From comments it seems this is a very very good lecture series. Or this would be too advance for a newbie like me?

At 39:53 the example seems a little bit off to me. I would expect Newton's method to converge in a single step (the function looks like a quadratic).

👍

👍

compression comparison for cross entropy is just damn good....

Thanks a lot. Wished I could have attended 'ML for Data Science' as well

Thank you Professor !!!

"If you can't read my handwriting, you are not alone" :)

Thank you Sir !!!

Thanks a lot !!

Thank you !!

Thanks a lot !!

Thanks a lot Sir !!

Thanks !!!

Thanks !!!

Thank you Professor !!!

The time watching these lectures passes in no time !! Thanks, Professor!

Thank you for the amazing Lecture !!!

Thank you so much Sir !!!

He is a fantastic teacher. And all the energetic teaching has given him a bad throat.

I like your way of teaching more than Andrew or anyone else, cause they assume students or anyone watching is at least tiny intelligent, which just isnt the case. After all we are all just stupid, except for few people, or that one kid in class