lecture · HACKER NEWS RECOMMENDATION
Lecture 1 | Natural Language Processing with Deep Learning
Stanford University School of Engineering · 3 HN recommenders · 3 recommendation months
Recommended by 3 Hacker News commenters across 3 months (2017–2018).
SignalTube analysis
Among 5 other lecture videos tagged Computer vision, speech & NLP, the mean is 3.2 distinct HN recommenders. This video has 3 distinct HN recommenders, close to that mean. Recommendations span 3 distinct months; the peer average is 3.2 months. This is a data-derived comparison, not a human review or quality rating.
100% of its 3 labeled comments are marked as recommendations or strong recommendations. HN mention years are 2017–2018; those years describe discussion history, not upload date. Its verified runtime is 71 minutes 41 seconds. YouTube lists its publication date as 2017-04-03.
- Channel / speaker
- Stanford University School of Engineering
- Verified runtime
- 1h 11m 41s
- YouTube upload date
- 2017-04-03
- Hacker News mention years
- 2017–2018
SAME TOPIC AND FORMAT
Compare with related videos
The comparison cohort uses other lecture videos in Computer vision, speech & NLP. “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 | Natural Language Processing with Deep LearningCurrent video | 3 | 3 | 100% | — | 1h 11m 41s | 2017-04-03 |
| Let's build the GPT Tokenizerlecture · Andrej Karpathy | 5 | 5 | 63% | No recorded overlap | 133m 35s | 2024-02-20 |
| LSTM is dead. Long Live Transformers!lecture · Seattle Applied Deep Learning | 4 | 4 | 80% | No recorded overlap | 28m 48s | 2019-12-03 |
| Peter Norvig - The Unreasonable Effectiveness of Datalecture · UBC Computer Science | 3 | 3 | 60% | No recorded overlap | 62m 57s | 2011-10-11 |
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 recommendation in “Amazon Is Hiring More Developers for Alexa Than Google Is Hiring for Everything”. Its short rationale: Good Stanford NLP class that takes time to absorb.
The archive classifies this as a strong recommendation in “Ask HN: How to Seriously Start with Machine Learning and AI”. Its short rationale: One of two brilliant Stanford courses on recent deep learning advances.
The archive classifies this as a recommendation in “Theoretical Machine Learning Lecture Series: Deep Learning and Cognition”. Its short rationale: Stanford NLP course lectures by Prof. Manning.