Відео

Humans tried but failed. AI.

55:59 Clique Grid Tree by over squashing classification

I love anything with Alfredo ❤

Amazing talk, thank you for making talks of this quality freely available, as a mostly self-taught Computer Scientist I really appreciate it ❤

Lep raspored ljudi sa različitim istraživačkom pozadinom. Nadam se da je bilo ljudi i van ML struke na ovoj prezentaciji pošto je imalo šta da se čuje. Bilo je lepo imati stotine ML inženjera u Novom Sadu, pa makar i na nedelju dana. Srećno na pokušaju privlačenja ECCV-a i ACM-a!

Just wanted to say how much i appreciate these talks. Ive been bingeing them the past few days. Love it.

Almost the same level of lecture as Patrick Cousot! Thanks for sharing. I'm curious tho, you mentioned few times "certified trainings" where do I find material on this please? Thnaks in advance for your answer.

Немам никакав паметни кометар сем свака Част.

Ima li života bez ,,karijere"

Beginner question, but do all of the graph nodes and edges exist in an n-dimensional latent space? Or are we talking about some other layer of the process? Love the EEML videos, very nice self-teaching pathway for an engineer in the middle of his career.

These videos have all been great ::)

David silver's talk, lecture, papers are always insightful and compact

Thanks lots for sharing this online. It was enjoyable/fruitful to hear the perspective of experienced researchers in the field.

I don't have words to explain how grateful I am for EEML Community uploading this video. Big thanks for this. This is truly a great video that should be watched by every person in Data Science Domain.

Thank you for the tremendously important lecture

Zaslavsky @6:49

Are the slides of this lecture available somewhere?

Super useful lecture! GNNs already have so many awesome applications I wasn't fully aware of. Btw greetings from a fellow lecturer at PSIML ML camp in Serbia!