course · HACKER NEWS RECOMMENDATION
Lecture 1 | Machine Learning (Stanford)
Stanford · 11 HN recommenders · 11 recommendation months
Recommended by 11 Hacker News commenters across 11 months (2008–2020).
SignalTube analysis
Among 4 other course videos tagged Machine learning & deep learning, the mean is 4.5 distinct HN recommenders. This video has 11 distinct HN recommenders, about 2.4× that mean. Recommendations span 11 distinct months, longer than the peer average of 4.3 months. This is a data-derived comparison, not a human review or quality rating.
79% of its 14 labeled comments are marked as recommendations or strong recommendations. HN mention years are 2008–2020; those years describe discussion history, not upload date. Its verified runtime is 68 minutes 40 seconds. YouTube lists its publication date as 2008-07-23.
- Channel / speaker
- Stanford
- Verified runtime
- 1h 8m 40s
- YouTube upload date
- 2008-07-23
- Hacker News mention years
- 2008–2020
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 |
|---|---|---|---|---|---|---|
| Lecture 1 | Machine Learning (Stanford)Current video | 11 | 11 | 79% | — | 1h 8m 40s | 2008-07-23 |
| RL Course by David Silver - Lecture 1: Introduction to Reinforcement Learningcourse · Google DeepMind | 9 | 9 | 91% | No recorded overlap | 88m 13s | 2015-05-13 |
| Lecture 01 - The Learning Problemcourse · caltech | 5 | 5 | 83% | 1 (9%) | 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 “Ask HN: Top Coursera Courses?”. Its short rationale: the source snapshot has no short rationale for this mention.
The archive classifies this as a recommendation in “Ask HN: Full-on machine learning for 2020, what are the best resources?”. Its short rationale: Recommended entry point for machine learning.
The archive classifies this as a recommendation in “Ask HN: What is your favorite YouTube channel for developers?”. Its short rationale: Good machine learning lectures on YouTube.