24:13silly machine learning researchComedy
Uppestcase and Lowestcase Letters [advances in derp learning]
suckerpinch
5 HN recommenders
24:13silly machine learning researchComedy
suckerpinch
5 HN recommenders
2:13:35
16:40crowdsourcing and human computationTalk
TED
4 HN recommenders
6:53intro machine learningTutorial
Google for Developers
6 HN recommenders
26:10transformer attentionExplainer
3Blue1Brown
5 HN recommenders
1:05:33machine learning anti-cheatTalk
max4warn
5 HN recommenders
28:48transformers in nlpLecture
Seattle Applied Deep Learning
4 HN recommenders
3:08:46self-driving and comma.aiPodcast
Lex Fridman
6 HN recommenders
27:07
1:30:45automatic differentiationTalk
Microsoft Research
3 HN recommenders
54:47social physicsTalk
Talks at Google
3 HN recommenders
12:47backpropagationExplainer
3Blue1Brown
4 HN recommenders
17:52reward modelling and rlhfExplainer
Robert Miles AI Safety
3 HN recommenders
23:20rigor in machine learningTalk
ObservantVids
3 HN recommenders
39:33media for thinkingTalk
Colin McDonnell
4 HN recommenders
17:08neural network game simulationDemo
sentdex
3 HN recommenders
51:46
4:41
20:33gradient descentExplainer
3Blue1Brown
4 HN recommenders
47:15AI and neural networksLecture
The Royal Institution
3 HN recommenders
40:37self-driving carsTalk
FunctionalTV
3 HN recommenders
1:11:41natural language processingLecture
Stanford University School of Engineering
3 HN recommenders
13:30machine learning for sign stealingDemo
Mark Rober
3 HN recommenders
42:40Machine learning involves both the models and the data and systems around them. This collection spans neural networks, language models, computer vision, data engineering and the broader consequences of AI. Students can begin with an introductory topic; practitioners can use the subject links to find a more specific technical discussion.
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