41:18voice-driven programmingTalk
"Voice Driven Development: Who needs a keyboard anyway?" by Emily Shea
Strange Loop Conference
5 HN recommenders
Machine 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.
41:18voice-driven programmingTalk
Strange Loop Conference
5 HN recommenders
10:36ai safety instrumental convergenceExplainer
Robert Miles AI Safety
6 HN recommenders
30:09self-driving neural networksTalk
Matroid
4 HN recommenders
59:48
1:15:11ai and educationTalk
Perimeter Institute for Theoretical Physics
6 HN recommenders
56:13jupyter notebooksTalk
O'Reilly
6 HN recommenders
4:51terminal data explorationDemo
Saul Pwanson
6 HN recommenders
3:00:18artificial consciousnessPodcast
Lex Fridman
6 HN recommenders
13:03AI alignmentExplainer
Robert Miles AI Safety
6 HN recommenders
20:36
2:35:53deep learning with tensorflowTutorial
Devoxx
6 HN recommenders
21:16reproducible researchTalk
Enthought
5 HN recommenders
48:39binary visualizationTalk
Adrian Crenshaw
7 HN recommenders
52:09
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15:12image compressionExplainer
Computerphile
6 HN recommenders
18:31fourier opticsExplainer
Huygens Optics
5 HN recommenders
22:56algorithmic manipulationTalk
TED
6 HN recommenders
1:59:37self-driving carsPodcast
Lex Fridman
7 HN recommenders
11:46drone deliveryExplainer
Real Engineering
9 HN recommenders
1:05:25machine learning anti-cheatTalk
GDC Festival of Gaming
5 HN recommenders
23:38reactive notebooksTalk
The Julia Programming Language
6 HN recommenders
54:01excel productivityTutorial
Cool Bug Facts
7 HN recommenders
55:53databases and big dataLecture
Michigan Engineering
5 HN recommenders
Machine 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.
Indie Picks is organized from video metadata and uploader descriptions; it is not a full-video editorial review. HN Library retains community discussions. Sources and data notes