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George Ho
Personal blog · eigenfoo.xyzaidata
George Ho's personal blog at eigenfoo.xyz covers ai and data. Since 2018, 3 different Hacker News readers have linked it 23 times, most often “Adventures in Manipulating Python ASTs”. The last post was in 2023, but the archive is still widely read.
I’m interested in natural language processing, Bayesian modelling, and coffee. Sometimes, but not always, in that order.
Most-linked posts?
- Adventures in Manipulating Python ASTs2 people · 3 mentions · first linked 2020-04-07
- Anatomy of a Probabilistic Programming Framework2 people · 2 mentions · first linked 2019-09-30
What Hacker News says?
Bandit algorithms can also be approached from a Bayesian point of view! This lets you quantify the uncertainty in your estimates (e.g. how uncertain you are than ad A has a higher CTR than ad B), which a lot of other bandit methods don't offer. To toot my own horn a bit, I wrote a blog post about Bayesian bandits: https://eigenfoo.xyz/bayesian-bandits/
Comment linking /bayesian-bandits/
on “The multi-armed bandit problem (2012)”Submitted What I wish someone had told me about tensor computation libraries as a story · 302 points
HN discussionhttps://eigenfoo.xyz/ I mainly use my blog to motivate me to learn new things in machine learning/data science. It's been a pretty effective tactic!
Comment linking /
on “Into the Personal-Website-Verse (2019)”Submitted Multi-Armed Bandits, Conjugate Models and Bayesian Reinforcement Learning as a story · 125 points
HN discussionNMF (and matrix factorization techniques more generally) are a really underrated machine learning technique. If you have a decent intuition for linear algebra, matrix factorizations are straightforward to understand, fairly easy to interpret, and can work wonders in applications far beyond recommender systems. As the blog post mentions, NMF has a potential applications to text mining, which I've tried out here on Re…
Comment linking /reddit-clusters/
on “Nonnegative matrix factorization”Submitted Floating-Point Formats and Deep Learning as a story · 39 points
HN discussionSubmitted Cookbook – Bayesian Modeling with PyMC3 as a story · 24 points
HN discussionSubmitted Adventures in Manipulating Python ASTs as a story · 14 points
HN discussionSubmitted Why Latent Dirichlet Allocation Sucks as a story · 5 points
HN discussionSubmitted Adventures in Manipulating Python ASTs as a story · 4 points
HN discussionSubmitted Transformers in Natural Language Processing – A Brief Survey as a story · 3 points
HN discussionSubmitted Transformers in Natural Language Processing – A Brief Survey as a story · 3 points
HN discussionSubmitted Anatomy of a Probabilistic Programming Framework as a story · 3 points
HN discussionSubmitted Autoregressive Models in Deep Learning – A Brief Survey as a story · 3 points
HN discussionSubmitted Why Latent Dirichlet Allocation Sucks as a story · 3 points
HN discussionSubmitted Streaming Data with Tornado and WebSockets as a story · 2 points
HN discussionSubmitted Adventures in Manipulating Python ASTs – Eigenfoo as a story · 2 points
HN discussionSubmitted Linear Discriminant Analysis for Starters as a story · 2 points
HN discussionSubmitted Decaying Evidence and Contextual Bandits – Bayesian Reinforcement Learning as a story · 2 points
HN discussionSubmitted Modern Computational Methods for Bayesian Inference – A Reading List as a story · 2 points
HN discussionSubmitted Understanding Hate Speech on Reddit Through Text Clustering as a story · 2 points
HN discussionSubmitted Anatomy of a Probabilistic Programming Framework as a story · 1 points
HN discussionSubmitted Common statistical tests are linear models as a story · 1 points
HN discussion