Machine Learning Methods - Computerphile

We haven't got time to label things, so can we let the computers work it out for themselves? Professor Uwe Aickelin explains supervised and un-supervised methods of machine learning.

This video was filmed and edited by Sean Riley.

[YingwuUsagiri]

This guy has quickly become one of my favourite. He's smart, he's a good speaker and he makes immediate sense.

[purplecoathanger]

First attempt at explaining machine learning I've seen without a picture of a scatter graph with a decision boundary drawn on it.

[Spix]

Extremely interesting and really clear explanation. Good work!!

[BhimaB]

Excellent. More videos on data & "big data" please

[alienkishorekumar]

Please do more Data Science videos! Thanks

[toddw]

I've been looking for a video like this for a long time. Extremely well explained and easily understood!

[supernunb]

Thank you for explaining machine learning in an understandable way! I haven't seen any videos explain it this well.

[jfking]

Please go into algorithms in future videos! Especially neural networks. I've found most explanations of NNs lacking in intuition and I would love to see your shot at explaining it!

[AlejandroVillanuevamx]

all computer science introductory lectures should be like this!

[foreverteuk]

This guy finally allowed me to understand the concept. it reminds me of that time when my lecturer talked about toilet seats. You want it to be hard, but if too hard, it becomes brittle and it breaks when you sit on it.

[nkekang]

The only video that helped me with understanding ML for my university assignments 😅👌🏾😍😍! Thanks a lot

[kbfan]

This reminded me of my AI class good times we only covered unsupervised, and supervised learning. Insightful to know where the future of this field is going.

[thomasrichardson]

more machine learning pleeeeasse i loved this!

[loLler]

Wow, i've been thinking about a for months. I am really glad to know that there are other people who think about the same thing and even researching it.

[LovSven]

Great explanation. I can see that he knows much more, and he has a way to simplify enough so you can understand.
I already have some questions about how some token examples to reevaluate the categorization in semi-supervised machine learning would work. Some confidence rating or sth...

[bwack]

Very interesting. I did a master thesis on comparing two learning algorithms for artificial neural networks (ANN) 9 years ago. TD-Lambda versus learning by search (supervised learning). It was very interesting to see the ANN learning to do better and better movies in the game of back gammon :)

[danielo_amaya]

"...I wouldn't be researcher if we'd finished with it!" lol loved that phrase, the very nature of curiosity and the willing of discovering the world!

[JahMusicTube]

Humans learn everything in a semi-supervised way, am I right? We get some advice from "experts" (our parents, our teachers, etc) but we also experiment ourselves based on observation (in a sense, we build some "metrics" for the quality of everything ourselves, similar to the similarity metrics in unsupervised learning). Does this make any sense?
BTW the video is extremely interesting! Amazing stuff! :)

[PeterWalkerHPc]

My cardiac surgeon ( Dr Nick Hendel ) sat with me and entered data from tests and factors and ran the program. He said it informed him of what to do and avoid and whether I'd survive.
Lying in the cardio ward watching the surgeon with an HP or TI programmable calc is pretty different.

[Salafrance]

I love these videos in general, but I found the audio very indistinct on this one, which made Prof. Uwe's presentation difficult to follow. I might try running the audio through an equaliser. Thanks for a fantastic resource.