2:35:53deep learning with tensorflowTutorial
Tensorflow and deep learning - without a PhD by Martin Görner
Devoxx
6 HN recommenders
2:35:53deep learning with tensorflowTutorial
Devoxx
6 HN recommenders
21:16reproducible researchTalk
Enthought
5 HN recommenders
52:09
23:38reactive notebooksTalk
The Julia Programming Language
6 HN recommenders
21:42analog computingExplainer
Veritasium
7 HN recommenders
54:54postgres analytics architectureTalk
Citus Data
4 HN recommenders
15:27ai safetyExplainer
Robert Miles AI Safety
5 HN recommenders
11:47hdr photographyTalk
Confreaks
4 HN recommenders
57:58corporations as artificial intelligenceTalk
media.ccc.de
4 HN recommenders
27:07
41:07
1:08:01analytical databasesTalk
CMU Database Group
2 HN recommenders
3:07neural networksTutorial
Welch Labs
3 HN recommenders
19:20
1:11
2:39:15computer architectureInterview
Lex Fridman
3 HN recommenders
35:45ai accelerator chipsTalk
The Research and Applied AI Summit - RAAIS
3 HN recommenders
1:21:39language implementation and optimizationTalk
John O'Neill
3 HN recommenders
40:45statistics for programmersTalk
PyCon 2016
3 HN recommenders
1:31:28computer arithmetic positsLecture
Stanford Online
5 HN recommenders
3:58map projectionsComedy
SaltLakeUsersGroup
3 HN recommenders
2:09:42neocortex and machine intelligenceInterview
Lex Fridman
2 HN recommenders
10:50:05slam live codingTutorial
george hotz archive
2 HN recommenders
2:29Machine 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