Top all-time · #11327
Chris McCormick
Personal blog · mccormickml.comaidata
Chris McCormick's personal blog at mccormickml.com covers ai and data. Since 2016, 7 different Hacker News readers have linked it 9 times, most often “Bert Research – Ep. 1 – Key Concepts and Sources”. It is still writing: the last post was on 2026-03-23, and you can follow it by feed.
Too few sampled comments (3) to say how often HN recommends it.?
Why HN links it
Chris McCormick's tutorials explain machine learning concepts such as word2vec, BERT research and product quantization. Commenters link them as introductions and explanations for readers new to these topics.
Summarised by Claude from a sample of 3 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
Most-linked posts?
- Bert Research – Ep. 1 – Key Concepts and Sources2 people · 2 mentions · first linked 2020-10-26
- Word2Vec – The Skip-Gram Model2 people · 2 mentions · first linked 2016-07-28
- Product Quantizers for K-NN2 people · 2 mentions · first linked 2021-06-28
What Hacker News says?
If you have some background on neural networks McCormick's post is a good start. https://mccormickml.com/2019/11/11/bert-research-ep-1-key-co...
Comment linking /2019/11/11/bert-research-ep-1-key-concepts-and-sources/
on “Rethinking Attention with Performers”Submitted Word2Vec Tutorial Part 2 – Negative Sampling · Chris McCormick as a story · 4 points
HN discussionAnd this is one that explains everything OP needs to understand the confusing sentence from their intro: http://mccormickml.com/2016/04/19/word2vec-tutorial-the-skip...
Comment linking /2016/04/19/word2vec-tutorial-the-skip-gram-model/
on “LexVec, a word embedding model written in Go that outperforms word2vec”Submitted Word2Vec – The Skip-Gram Model as a story · 3 points
HN discussionI am bullish Pgvector because I am “postgres for everything guy”. Current concerns are the scaling and recall performance. The author is looking at product quantization along with other ideas: https://github.com/pgvector/pgvector/issues/27 More details on product quantization: https://mccormickml.com/2017/10/13/product-quantizer-tutoria... A nice repo that tracks the ANN relative performance of different indexes: ht…
Comment linking /2017/10/13/product-quantizer-tutorial-part-1/
on “What Is a Vector Database”Submitted Bert Research – Ep. 1 – Key Concepts and Sources · Chris McCormick as a story · 2 points
HN discussionSubmitted Product Quantizers for K-NN as a story · 2 points
HN discussionSubmitted Bert Research – Ep. 1 – Key Concepts and Sources as a story · 1 points
HN discussion
