course · HACKER NEWS RECOMMENDATION
RL Course by David Silver - Lecture 1: Introduction to Reinforcement Learning
Google DeepMind · 9 HN recommenders · 9 recommendation months
Recommended by 9 Hacker News commenters across 9 months (2017–2026).
SignalTube analysis
Among 4 other course videos tagged Machine learning & deep learning, the mean is 5.0 distinct HN recommenders. This video has 9 distinct HN recommenders, about 1.8× that mean. Recommendations span 9 distinct months, longer than the peer average of 4.8 months. This is a data-derived comparison, not a human review or quality rating.
91% of its 11 labeled comments are marked as recommendations or strong recommendations. HN mention years are 2017–2026; those years describe discussion history, not upload date. Its verified runtime is 88 minutes 13 seconds. YouTube lists its publication date as 2015-05-13.
- Channel / speaker
- Google DeepMind
- Verified runtime
- 1h 28m 13s
- YouTube upload date
- 2015-05-13
- Hacker News mention years
- 2017–2026
SAME TOPIC AND FORMAT
Compare with related videos
The comparison cohort uses other course videos in Machine learning & deep learning. “Shared recommenders” counts HN users who recommended both videos in the source graph.
| Video | HN recommenders | Recommendation months | Positive label share | Shared recommenders | Runtime | Upload date |
|---|---|---|---|---|---|---|
| RL Course by David Silver - Lecture 1: Introduction to Reinforcement LearningCurrent video | 9 | 9 | 91% | — | 1h 28m 13s | 2015-05-13 |
| Lecture 1 | Machine Learning (Stanford)course · Stanford | 11 | 11 | 79% | No recorded overlap | 68m 40s | 2008-07-23 |
| Lecture 01 - The Learning Problemcourse · caltech | 5 | 5 | 83% | No recorded overlap | 81m 28s | 2012-08-28 |
| Practical Deep Learning for Coders: Lesson 1course · Jeremy Howard | 2 | 2 | 67% | No recorded overlap | 82m 56s | 2022-07-21 |
THREE SOURCE-BASED CONTEXT POINTS
Why Hacker News recommends it
Each note combines the dataset’s stance label and short rationale; comment bodies are not reproduced. Open the HN source for the original discussion.
The archive classifies this as a contextual reference in “A Man Behind AlphaGo Thinks AI Is Taking the Wrong Path”. Its short rationale: Popular RL lectures by David Silver.
The archive classifies this as a strong recommendation in “Q-learning is not yet scalable”. Its short rationale: Excellent introductory RL course for those wanting depth.
The archive classifies this as a recommendation in “Powerful AI Can Now Be Trained on a Single Computer”. Its short rationale: Series showing what RL can and cannot do.