25:22micromouse roboticsDocumentary
The Fastest Maze-Solving Competition On Earth
Veritasium
5 HN recommenders
AI, Machine Learning & Data
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.
Videos
576 videos25:22
5:07mars rover landingExplainer
7 Minutes of Terror: Curiosity Rover's Risky Mars Landing | Video
VideoFromSpace
3 HN recommenders
5:50
1:48
39:33media for thinkingTalk
Bret Victor - Media for Thinking the Unthinkable
Colin McDonnell
4 HN recommenders
17:08neural network game simulationDemo
Playing a Neural Network's version of GTA V: GAN Theft Auto
sentdex
3 HN recommenders
41:07
7:38
11:48statistics for programmersTalk
John Rauser keynote: "Statistics Without the Agonizing Pain" -- Strata + Hadoop 2014
O'Reilly
3 HN recommenders
51:46
1:03:22binary visualization for reverse engineeringTalk
REcon 2013 - The Future of RE : Dynamic Binary Visualization (Christopher Domas)
Sébastien Duquette
3 HN recommenders
4:41
7:22
20:33gradient descentExplainer
Gradient descent, how neural networks learn | Deep Learning Chapter 2
3Blue1Brown
4 HN recommenders
1:00:29game ai designTalk
Playing to Lose: AI and "Civilization" (Soren Johnson)
Google TechTalks
2 HN recommenders
47:15AI and neural networksLecture
Will AI outsmart human intelligence? - with 'Godfather of AI' Geoffrey Hinton
The Royal Institution
3 HN recommenders
40:37self-driving carsTalk
ai.bythebay.io: George Hotz, Self-Driving Lessons from Comma AI
FunctionalTV
3 HN recommenders
1:11:41natural language processingLecture
Lecture 1 | Natural Language Processing with Deep Learning
Stanford University School of Engineering
3 HN recommenders
1:08:01analytical databasesTalk
DuckDB – The SQLite for Analytics (Mark Raasveldt, CWI)
CMU Database Group
2 HN recommenders
13:30machine learning for sign stealingDemo
Stealing Baseball Signs with a Phone (Machine Learning)
Mark Rober
3 HN recommenders
18:25coding agent harnessesTalk
Building pi in a World of Slop — Mario Zechner
AI Engineer
3 HN recommenders
3:29
42:40
3:07neural networksTutorial
Neural Networks Demystified [Part 1: Data and Architecture]
Welch Labs
3 HN recommenders
Sources and selection
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