corpus.blog
41554 blogs · [ { "id": "01a0b68b-4cd7-7095-b88d-6e27ea651aef", "title": "George Ho", "url": "https://www.georgeho.org", "published_at": "2026-09-07T05:20:44+00:00" }, { "id": "01a0877c-88ac-7164-928e-b4c76e190884", "title": "Data is Plural Podcast — Crossword Data", "url": "https://www.georgeho.org/data-is-plural-podcast/", "published_at": "2023-12-20T00:00:00+00:00" }, { "id": "01a0877c-88ac-7164-928e-b4c76e361ad3", "title": "“So What Is Your Job, Exactly?”", "url": "https://www.georgeho.org/ml-for-ehr-rwd-extraction/", "published_at": "2023-04-04T00:00:00+00:00" }, { "id": "01a0877c-88ac-7164-928e-b4c76e48bbe4", "title": "Thoughts on Hanukkah of Data 2022", "url": "https://www.georgeho.org/hanukkah-of-data-2022/", "published_at": "2022-12-26T00:00:00+00:00" }, { "id": "01a0877c-88ac-7164-928e-b4c76ea7de0e", "title": "Use Your Computer Faster By Reading Less", "url": "https://www.georgeho.org/computer-faster-reading-less/", "published_at": "2022-11-06T00:00:00+00:00" }, { "id": "01a0877c-88ac-7164-928e-b4c76f037939", "title": "Merriam-Webster and Unstructured Data Processing", "url": "https://www.georgeho.org/webster-unstructured-data/", "published_at": "2022-09-18T00:00:00+00:00" }, { "id": "01a0877c-88ac-7164-928e-b4c76fd27f0c", "title": "Link Bulletin, August 2022", "url": "https://www.georgeho.org/link-bulletin-2022-08/", "published_at": "2022-08-04T00:00:00+00:00" }, { "id": "01a0877c-88ac-7164-928e-b4c76ff946ef", "title": "Datasets and Dictionaries for Crosswords", "url": "https://www.georgeho.org/crosswords-datasets-dictionaries/", "published_at": "2022-07-30T00:00:00+00:00" }, { "id": "01a0877c-88ac-7164-928e-b4c770cac986", "title": "Link Bulletin, April 2022", "url": "https://www.georgeho.org/link-bulletin-2022-04/", "published_at": "2022-04-23T00:00:00+00:00" }, { "id": "01a0877c-88ac-7164-928e-b4c771aa2cba", "title": "How to Improve Your Static Site's Typography", "url": "https://www.georgeho.org/static-site-typography/", "published_at": "2022-03-21T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de73862cb5f4", "title": "Migrating to Hugo", "url": "https://www.georgeho.org/migrating-to-hugo/", "published_at": "2022-03-05T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de7386f9f161", "title": "Data Collection is Hard. You Should Try It.", "url": "https://www.georgeho.org/data-collection-is-hard/", "published_at": "2022-03-03T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de738706329b", "title": "Streaming Data with Tornado and WebSockets", "url": "https://www.georgeho.org/tornado-websockets/", "published_at": "2021-10-05T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de7387c002de", "title": "Joining Flatiron Health", "url": "https://www.georgeho.org/joining-flatiron/", "published_at": "2021-09-24T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de738842b954", "title": "`cryptics.georgeho.org` — A Dataset of Cryptic Crossword Clues", "url": "https://www.georgeho.org/cryptic-clues/", "published_at": "2021-09-11T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de73893ef02d", "title": "How Many Cryptic Crossword Grids Are There?", "url": "https://www.georgeho.org/counting-cryptics/", "published_at": "2021-05-17T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de738a185f15", "title": "Understanding NUTS and HMC", "url": "https://www.georgeho.org/understanding-nuts-hmc/", "published_at": "2021-01-07T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de738b089270", "title": "What I Wish Someone Had Told Me About Tensor Computation Libraries", "url": "https://www.georgeho.org/tensor-computation-libraries/", "published_at": "2020-12-15T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de738b4f6cd0", "title": "Serif Fonts for Coding", "url": "https://www.georgeho.org/fonts-for-coding/", "published_at": "2020-11-26T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de738b5e5907", "title": "`littlemcmc` — A Standalone HMC and NUTS Sampler in Python", "url": "https://www.georgeho.org/littlemcmc/", "published_at": "2020-10-06T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de738b7bcbe9", "title": "Pollen and Digital Publishing (a.k.a. _The Book is a Program_)", "url": "https://www.georgeho.org/pollen-digital-publishing/", "published_at": "2020-09-10T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de738c462c5c", "title": "Floating-Point Formats and Deep Learning", "url": "https://www.georgeho.org/floating-point-deep-learning/", "published_at": "2020-07-26T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de738d391919", "title": "Transformers in Natural Language Processing — A Brief Survey", "url": "https://www.georgeho.org/transformers-in-nlp/", "published_at": "2020-05-23T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de738dd52eae", "title": "Adventures in Manipulating Python ASTs", "url": "https://www.georgeho.org/manipulating-python-asts/", "published_at": "2020-03-27T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de738ead4335", "title": "Benchmarks for Mass Matrix Adaptation", "url": "https://www.georgeho.org/mass-matrix-benchmarks/", "published_at": "2019-12-14T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de738f87a8cb", "title": "Introducing `stan-vim`", "url": "https://www.georgeho.org/stan-vim/", "published_at": "2019-11-11T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de738fec6f09", "title": "Anatomy of a Probabilistic Programming Framework", "url": "https://www.georgeho.org/prob-prog-frameworks/", "published_at": "2019-09-30T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de739072f58e", "title": "Graduated Cooper Union, Joining Point72", "url": "https://www.georgeho.org/joining-point72/", "published_at": "2019-07-22T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de73909a7a15", "title": "Python Port of _Common Statistical Tests are Linear Models_", "url": "https://www.georgeho.org/stat-tests-are-linear-model/", "published_at": "2019-06-28T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de7390c26c0a", "title": "Decaying Evidence and Contextual Bandits — Bayesian Reinforcement Learning (Part 2)", "url": "https://www.georgeho.org/bayesian-bandits-2/", "published_at": "2019-06-02T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de7391606a0f", "title": "Autoregressive Models in Deep Learning — A Brief Survey", "url": "https://www.georgeho.org/deep-autoregressive-models/", "published_at": "2019-03-09T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de739186c173", "title": "Modern Computational Methods for Bayesian Inference — A Reading List", "url": "https://www.georgeho.org/bayesian-inference-reading/", "published_at": "2019-01-02T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de7391b0b91e", "title": "Probabilistic and Bayesian Matrix Factorizations for Text Clustering", "url": "https://www.georgeho.org/matrix-factorizations/", "published_at": "2018-10-13T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de7391eff8e8", "title": "Multi-Armed Bandits and Conjugate Models — Bayesian Reinforcement Learning (Part 1)", "url": "https://www.georgeho.org/bayesian-bandits/", "published_at": "2018-08-31T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de7392044dfb", "title": "Cookbook — Bayesian Modelling with PyMC3", "url": "https://www.georgeho.org/bayesian-modelling-cookbook/", "published_at": "2018-06-24T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de7392576d7a", "title": "Understanding Hate Speech on Reddit through Text Clustering", "url": "https://www.georgeho.org/reddit-clusters/", "published_at": "2018-03-18T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de7392f4d136", "title": "Why Latent Dirichlet Allocation Sucks", "url": "https://www.georgeho.org/lda-sucks/", "published_at": "2018-03-06T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de7393a9822d", "title": "~~Fruit~~ Loops and Learning - The LUPI Paradigm and SVM+", "url": "https://www.georgeho.org/lupi/", "published_at": "2018-01-30T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de7394633fe3", "title": "Linear Discriminant Analysis for Starters", "url": "https://www.georgeho.org/lda/", "published_at": "2017-12-30T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de7394f59ae9", "title": "Portfolio Risk Analytics and Performance Attribution with Pyfolio", "url": "https://www.georgeho.org/pyfolio/", "published_at": "2017-12-16T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de73955f9a7f", "title": "Modelling Hate Speech on Reddit — A Three-Act Play (Slide Deck)", "url": "https://www.georgeho.org/reddit-slides/", "published_at": "2017-11-08T00:00:00+00:00" }, { "id": "01a0877c-88ad-7297-9aef-de73962a79f3", "title": "Hello World!", "url": "https://www.georgeho.org/hello/", "published_at": "2017-07-29T00:00:00+00:00" } ] posts Claim your blog
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Blog · corpus.blog/blogs/georgeho.org/posts

Hello! I’m George (a.k.a. eigenfoo) | George Ho

georgeho.org

2026

George Hooriginal ↗
7 Sept 2026

2023

Data is Plural Podcast — Crossword Dataoriginal ↗
20 Dec 2023
“So What Is Your Job, Exactly?”original ↗
4 Apr 2023

2022

Thoughts on Hanukkah of Data 2022original ↗
26 Dec 2022
Use Your Computer Faster By Reading Lessoriginal ↗
6 Nov 2022
Merriam-Webster and Unstructured Data Processingoriginal ↗
18 Sept 2022
Link Bulletin, August 2022original ↗
4 Aug 2022
Datasets and Dictionaries for Crosswordsoriginal ↗
30 Jul 2022
Link Bulletin, April 2022original ↗
23 Apr 2022
How to Improve Your Static Site's Typographyoriginal ↗
21 Mar 2022
Migrating to Hugooriginal ↗
5 Mar 2022
Data Collection is Hard. You Should Try It.original ↗
3 Mar 2022

2021

Streaming Data with Tornado and WebSocketsoriginal ↗
5 Oct 2021
Joining Flatiron Healthoriginal ↗
24 Sept 2021
`cryptics.georgeho.org` — A Dataset of Cryptic Crossword Cluesoriginal ↗
11 Sept 2021
How Many Cryptic Crossword Grids Are There?original ↗
17 May 2021
Understanding NUTS and HMCoriginal ↗
7 Jan 2021

2020

What I Wish Someone Had Told Me About Tensor Computation Librariesoriginal ↗
15 Dec 2020
Serif Fonts for Codingoriginal ↗
26 Nov 2020
`littlemcmc` — A Standalone HMC and NUTS Sampler in Pythonoriginal ↗
6 Oct 2020
Pollen and Digital Publishing (a.k.a. _The Book is a Program_)original ↗
10 Sept 2020
Floating-Point Formats and Deep Learningoriginal ↗
26 Jul 2020
Transformers in Natural Language Processing — A Brief Surveyoriginal ↗
23 May 2020
Adventures in Manipulating Python ASTsoriginal ↗
27 Mar 2020

2019

Benchmarks for Mass Matrix Adaptationoriginal ↗
14 Dec 2019
Introducing `stan-vim`original ↗
11 Nov 2019
Anatomy of a Probabilistic Programming Frameworkoriginal ↗
30 Sept 2019
Graduated Cooper Union, Joining Point72original ↗
22 Jul 2019
Python Port of _Common Statistical Tests are Linear Models_original ↗
28 Jun 2019
Decaying Evidence and Contextual Bandits — Bayesian Reinforcement Learning (Part 2)original ↗
2 Jun 2019
Autoregressive Models in Deep Learning — A Brief Surveyoriginal ↗
9 Mar 2019
Modern Computational Methods for Bayesian Inference — A Reading Listoriginal ↗
2 Jan 2019

2018

Probabilistic and Bayesian Matrix Factorizations for Text Clusteringoriginal ↗
13 Oct 2018
Multi-Armed Bandits and Conjugate Models — Bayesian Reinforcement Learning (Part 1)original ↗
31 Aug 2018
Cookbook — Bayesian Modelling with PyMC3original ↗
24 Jun 2018
Understanding Hate Speech on Reddit through Text Clusteringoriginal ↗
18 Mar 2018
Why Latent Dirichlet Allocation Sucksoriginal ↗
6 Mar 2018
~~Fruit~~ Loops and Learning - The LUPI Paradigm and SVM+original ↗
30 Jan 2018

2017

Linear Discriminant Analysis for Startersoriginal ↗
30 Dec 2017
Portfolio Risk Analytics and Performance Attribution with Pyfoliooriginal ↗
16 Dec 2017
Modelling Hate Speech on Reddit — A Three-Act Play (Slide Deck)original ↗
8 Nov 2017
Hello World!original ↗
29 Jul 2017