41554 blogs · [ { "id": "01a087db-7b61-734e-be12-5223f94f888d", "title": "Elo Rating and the Brier score", "url": "https://sanyamkapoor.com/kb/elo-rating-and-the-brier-score", "published_at": "2025-03-28T16:12:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c684c3e45", "title": "Machine Learning literature", "url": "https://sanyamkapoor.com/kb/machine-learning-literature", "published_at": "2025-02-21T17:03:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c155788563", "title": "AI Products", "url": "https://sanyamkapoor.com/kb/ai-products", "published_at": "2025-02-11T23:53:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c155fa58d7", "title": "Where are the category-defining AI products?", "url": "https://sanyamkapoor.com/kb/where-are-the-category-defining-ai-products", "published_at": "2025-01-26T06:19:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c144a7c16a", "title": "Textbooks on Various Subjects", "url": "https://sanyamkapoor.com/kb/textbooks-on-various-subjects", "published_at": "2024-12-31T17:07:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c13fdea6ea", "title": "Self Advice", "url": "https://sanyamkapoor.com/kb/self-advice", "published_at": "2024-12-21T03:15:00+00:00" }, { "id": "01a087db-7b61-734e-be12-5223e81492f6", "title": "Books", "url": "https://sanyamkapoor.com/kb/books", "published_at": "2024-12-03T21:36:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c657b81da", "title": "Preset Vocabulary Tokenizers in HuggingFace Transformers", "url": "https://sanyamkapoor.com/kb/preset-vocabulary-tokenizers-in-huggingface-transformers", "published_at": "2024-12-02T20:31:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c15ea2418e", "title": "Products", "url": "https://sanyamkapoor.com/kb/products", "published_at": "2024-11-24T18:39:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c15f34c4b9", "title": "Subscriptions and Services", "url": "https://sanyamkapoor.com/kb/subscriptions-and-services", "published_at": "2024-10-28T20:40:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c6f5012bd", "title": "The Stack", "url": "https://sanyamkapoor.com/kb/the-stack", "published_at": "2024-09-16T13:05:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c143550ed8", "title": "Muscle", "url": "https://sanyamkapoor.com/kb/muscle", "published_at": "2024-04-17T13:55:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c6e7a4be6", "title": "Markdown Reference", "url": "https://sanyamkapoor.com/kb/markdown-reference", "published_at": "2024-04-14T06:19:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c648ea99a", "title": "Everything LLMs", "url": "https://sanyamkapoor.com/kb/everything-llms", "published_at": "2024-04-09T03:07:00+00:00" }, { "id": "01a087db-7b61-734e-be12-5223f00deed0", "title": "My Wine Map", "url": "https://sanyamkapoor.com/kb/my-wine-map", "published_at": "2024-03-25T17:24:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c14334e35f", "title": "Life Maps", "url": "https://sanyamkapoor.com/kb/maps", "published_at": "2024-03-25T16:32:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c7101a098", "title": "Boquila", "url": "https://sanyamkapoor.com/kb/boquila", "published_at": "2024-01-02T11:29:00+00:00" }, { "id": "01a087db-7b61-734e-be12-5223e88a8bad", "title": "Commoditization", "url": "https://sanyamkapoor.com/kb/commoditization", "published_at": "2023-12-18T02:05:00+00:00" }, { "id": "01a087db-7b61-734e-be12-5223ef6bcbba", "title": "Be Suspicious of Stories", "url": "https://sanyamkapoor.com/kb/be-suspicious-of-stories", "published_at": "2023-12-18T01:51:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c6784d8ac", "title": "Hypothesis Testing", "url": "https://sanyamkapoor.com/kb/hypothesis-testing", "published_at": "2023-12-18T01:07:00+00:00" }, { "id": "01a087db-7b61-734e-be12-5223ef30f760", "title": "Podcasts", "url": "https://sanyamkapoor.com/kb/podcasts", "published_at": "2023-12-09T17:38:00+00:00" }, { "id": "01a087db-7b61-734e-be12-5223ec3a8844", "title": "Movies and TV", "url": "https://sanyamkapoor.com/kb/movies-and-tv", "published_at": "2023-09-24T22:22:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c14308b1e2", "title": "Design Inspirations", "url": "https://sanyamkapoor.com/kb/design-inspirations", "published_at": "2023-08-22T19:18:00+00:00" }, { "id": "01a087db-7b61-734e-be12-5223f4915009", "title": "Topics in Bayesian Machine Learning", "url": "https://sanyamkapoor.com/kb/topics-in-bayesian-machine-learning", "published_at": "2023-08-17T19:38:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c65f164ea", "title": "The Gaussian Cheatsheet", "url": "https://sanyamkapoor.com/kb/the-gaussian-cheatsheet", "published_at": "2023-08-06T17:28:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c142293440", "title": "Data Sources", "url": "https://sanyamkapoor.com/kb/data-sources", "published_at": "2023-08-02T17:39:00+00:00" }, { "id": "01a087db-7b61-734e-be12-5223f889c3df", "title": "Diffusion Models", "url": "https://sanyamkapoor.com/kb/diffusion-models", "published_at": "2023-08-01T23:48:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c1404c6f52", "title": "Questions for Self-Introspection", "url": "https://sanyamkapoor.com/kb/questions-for-self-introspection", "published_at": "2023-06-27T16:03:00+00:00" }, { "id": "01a087db-7b61-734e-be12-5223ed0c71c9", "title": "Music", "url": "https://sanyamkapoor.com/kb/music", "published_at": "2023-06-27T15:50:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c143e4eeef", "title": "Reviewing Statistics", "url": "https://sanyamkapoor.com/kb/reviewing-statistics", "published_at": "2023-06-18T18:26:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c6a5c1333", "title": "Cross-Entropy, Label Smoothing, and Focal Loss", "url": "https://sanyamkapoor.com/kb/cross-entropy-label-smoothing-and-focal-loss", "published_at": "2023-06-12T18:09:00+00:00" }, { "id": "01a087db-7b61-734e-be12-5223f7d3a815", "title": "Differential Entropy", "url": "https://sanyamkapoor.com/kb/differential-entropy", "published_at": "2023-06-12T00:57:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c757d263d", "title": "Thoughtful Essayists", "url": "https://sanyamkapoor.com/kb/thoughtful-essayists", "published_at": "2023-05-29T17:28:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c69497732", "title": "Higher-order gradients in PyTorch, Parallelized", "url": "https://sanyamkapoor.com/kb/higher-order-gradients-in-pytorch-parallelized", "published_at": "2023-05-27T20:07:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c6a1d790e", "title": "Notes on OOD Generalization", "url": "https://sanyamkapoor.com/kb/notes-on-ood-generalization", "published_at": "2023-05-27T20:02:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c679afac1", "title": "Raw notes on Interpretable Machine Learning", "url": "https://sanyamkapoor.com/kb/raw-notes-on-interpretable-machine-learning", "published_at": "2023-05-27T19:40:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c665573a1", "title": "Gradient Boosted Decision Trees: A Recap", "url": "https://sanyamkapoor.com/kb/gradient-boosted-decision-trees-a-recap", "published_at": "2023-05-27T19:34:00+00:00" }, { "id": "01a087db-7b61-734e-be12-5223f7712769", "title": "Decision Theory", "url": "https://sanyamkapoor.com/kb/decision-theory", "published_at": "2023-05-27T19:28:00+00:00" }, { "id": "01a087db-7b61-734e-be12-5223f501965e", "title": "Beyond Bayes", "url": "https://sanyamkapoor.com/kb/beyond-bayes", "published_at": "2023-05-27T19:26:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c7dd12e8e", "title": "Laundry", "url": "https://sanyamkapoor.com/kb/laundry", "published_at": "2023-05-03T23:05:00+00:00" }, { "id": "01a087db-7b61-734e-be12-5223e83e530f", "title": "Books I want to write", "url": "https://sanyamkapoor.com/kb/books-i-want-to-write", "published_at": "2023-04-07T00:12:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c141dad756", "title": "Tiny Pleasures", "url": "https://sanyamkapoor.com/kb/tiny-pleasures", "published_at": "2023-04-04T18:14:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c77208b7e", "title": "Mother of all Bias Models", "url": "https://sanyamkapoor.com/kb/mother-of-all-bias-models", "published_at": "2023-03-20T11:47:00+00:00" }, { "id": "01a087db-7b61-734e-be12-5223e851dc5f", "title": "Choose", "url": "https://sanyamkapoor.com/kb/choose", "published_at": "2023-03-19T23:55:00+00:00" }, { "id": "01a087db-7b61-734e-be12-5223eb9b7e31", "title": "Memes for my life", "url": "https://sanyamkapoor.com/kb/memes-for-my-life", "published_at": "2023-03-16T00:44:00+00:00" }, { "id": "01a087db-7b61-734e-be12-5223f5b82304", "title": "Big Picture Papers", "url": "https://sanyamkapoor.com/kb/big-picture-papers", "published_at": "2023-01-08T23:46:00+00:00" }, { "id": "01a087db-7b61-734e-be12-5223f7687637", "title": "Machine Learning courses", "url": "https://sanyamkapoor.com/kb/machine-learning-courses", "published_at": "2023-01-08T15:37:00+00:00" }, { "id": "01a087db-7b61-734e-be12-5223f25f3b2a", "title": "Topics in Numerical Analysis", "url": "https://sanyamkapoor.com/kb/topics-in-numerical-analysis", "published_at": "2022-12-28T20:00:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c15f6d47f1", "title": "Sustainable Materials of the Future", "url": "https://sanyamkapoor.com/kb/sustainable-materials-of-the-future", "published_at": "2022-11-11T16:35:00+00:00" }, { "id": "01a087db-7b61-734e-be12-5223ee3e122d", "title": "On good writing", "url": "https://sanyamkapoor.com/kb/on-good-writing", "published_at": "2022-09-30T17:13:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c141fcf2dd", "title": "Common Yardsticks", "url": "https://sanyamkapoor.com/kb/common-yardsticks", "published_at": "2022-04-16T19:51:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c7a539261", "title": "Force Multipliers", "url": "https://sanyamkapoor.com/kb/force-multipliers", "published_at": "2022-01-27T02:36:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c73d79e93", "title": "Adages, Quotes", "url": "https://sanyamkapoor.com/kb/adages-quotes", "published_at": "2022-01-19T00:28:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c15fedb286", "title": "Measuring time", "url": "https://sanyamkapoor.com/kb/measuring-time", "published_at": "2022-01-08T19:11:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c6597bd5b", "title": "Elements of Learning", "url": "https://sanyamkapoor.com/kb/elements-of-learning", "published_at": "2021-10-14T04:07:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c74f20f05", "title": "Linguistic Relativity", "url": "https://sanyamkapoor.com/kb/linguistic-relativity", "published_at": "2021-08-09T16:52:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c1529179fe", "title": "Science and superstition", "url": "https://sanyamkapoor.com/kb/science-and-superstition", "published_at": "2021-07-26T14:35:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c7e342423", "title": "Me and My Research", "url": "https://sanyamkapoor.com/kb/me-and-my-research", "published_at": "2021-07-22T13:25:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c152bfb42d", "title": "Startups", "url": "https://sanyamkapoor.com/kb/startups", "published_at": "2021-07-19T06:11:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c15bbe3914", "title": "LaTeX code snippets", "url": "https://sanyamkapoor.com/kb/latex-code-snippets", "published_at": "2021-07-01T13:20:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c6e96652a", "title": "Elements of the Knowledge Base", "url": "https://sanyamkapoor.com/kb/elements-of-the-knowledge-base", "published_at": "2021-06-29T05:54:00+00:00" }, { "id": "01a087db-7b61-734e-be12-5223eed757f0", "title": "Periodicals", "url": "https://sanyamkapoor.com/kb/periodicals", "published_at": "2021-06-29T05:49:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c153ccf742", "title": "The sun and the wind", "url": "https://sanyamkapoor.com/kb/the-sun-and-the-wind", "published_at": "2021-06-21T15:29:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c7ac5dcbf", "title": "Ideological Necrophillia", "url": "https://sanyamkapoor.com/kb/ideological-necrophillia", "published_at": "2021-06-13T07:37:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c15ac4d1ea", "title": "Are ideas becoming harder to find?", "url": "https://sanyamkapoor.com/kb/are-ideas-becoming-harder-to-find", "published_at": "2021-05-31T06:22:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c7f2befe8", "title": "Cognitive and Experimental psychology", "url": "https://sanyamkapoor.com/kb/cognitive-and-experimental-psychology", "published_at": "2021-05-28T10:54:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c14b3d44fd", "title": "Hypernormalization", "url": "https://sanyamkapoor.com/kb/hypernormalization", "published_at": "2021-05-27T06:10:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c78e869db", "title": "The \"Think Different\" Researcher", "url": "https://sanyamkapoor.com/kb/the-think-different-researcher", "published_at": "2021-05-19T08:54:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c76330009", "title": "Nikolai Vavilov", "url": "https://sanyamkapoor.com/kb/nikolai-vavilov", "published_at": "2021-05-09T15:59:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c1473c0423", "title": "On charity", "url": "https://sanyamkapoor.com/kb/on-charity", "published_at": "2021-05-06T07:26:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c156139eb8", "title": "Bash code snippets", "url": "https://sanyamkapoor.com/kb/bash-code-snippets", "published_at": "2021-05-03T11:39:00+00:00" }, { "id": "01a087db-7b61-734e-be12-5223edb46e3f", "title": "Oddly satisfying Twitter accounts", "url": "https://sanyamkapoor.com/kb/oddly-satisfying-twitter-accounts", "published_at": "2021-04-09T06:37:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c15e43bb90", "title": "Numerical code snippets", "url": "https://sanyamkapoor.com/kb/numerical-code-snippets", "published_at": "2021-04-07T10:36:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c15edde571", "title": "The Science of Science", "url": "https://sanyamkapoor.com/kb/the-science-of-science", "published_at": "2021-03-31T16:47:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c7643eabb", "title": "The power of abstraction", "url": "https://sanyamkapoor.com/kb/the-power-of-abstraction", "published_at": "2021-02-28T09:55:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c15debf7fd", "title": "The absolute zero of neural networks", "url": "https://sanyamkapoor.com/kb/the-absolute-zero-of-neural-networks", "published_at": "2021-02-24T11:42:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c7bb991d9", "title": "Intoxicated by statistics", "url": "https://sanyamkapoor.com/kb/intoxicated-by-statistics", "published_at": "2021-02-21T13:20:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c1413e13ca", "title": "Dormant skills", "url": "https://sanyamkapoor.com/kb/dormant-skills", "published_at": "2021-02-19T04:52:00+00:00" }, { "id": "01a087db-7b61-734e-be12-5223eab0d355", "title": "The CRAP Principle", "url": "https://sanyamkapoor.com/kb/the-crap-principle", "published_at": "2021-01-18T10:13:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c14b1577be", "title": "Be the horse breeder", "url": "https://sanyamkapoor.com/kb/be-the-horse-breeder", "published_at": "2021-01-03T12:37:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c14e62934a", "title": "Math and beauty", "url": "https://sanyamkapoor.com/kb/math-and-beauty", "published_at": "2021-01-03T12:02:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c669ae79c", "title": "The Gibbs distribution and general Bayes", "url": "https://sanyamkapoor.com/kb/the-gibbs-distribution-and-general-bayes", "published_at": "2020-12-28T16:01:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c77ed5511", "title": "Big fat list of Mental Models", "url": "https://sanyamkapoor.com/kb/big-fat-list-of-mental-models", "published_at": "2020-12-10T17:49:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c79a7ee74", "title": "Existential Risks", "url": "https://sanyamkapoor.com/kb/existential-risks", "published_at": "2020-12-06T16:06:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c7f9cb988", "title": "Radical Scepticism", "url": "https://sanyamkapoor.com/kb/radical-scepticism", "published_at": "2020-11-24T17:15:00+00:00" }, { "id": "01a087db-7b61-734e-be12-5223efb3b28e", "title": "Websites", "url": "https://sanyamkapoor.com/kb/websites", "published_at": "2020-11-22T05:35:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c66afc588", "title": "Why is Bayesian inference hard?", "url": "https://sanyamkapoor.com/kb/why-is-bayesian-inference-hard", "published_at": "2020-11-17T17:02:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c15b5430c2", "title": "Integraphs", "url": "https://sanyamkapoor.com/kb/integraphs", "published_at": "2020-11-10T18:47:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c74bf596b", "title": "Narendra Dabholkar", "url": "https://sanyamkapoor.com/kb/narendra-dabholkar", "published_at": "2020-11-10T18:22:00+00:00" }, { "id": "01a087db-7b61-734e-be12-5223eab6a9a5", "title": "The Lessons of History", "url": "https://sanyamkapoor.com/kb/the-lessons-of-history", "published_at": "2020-10-25T15:01:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c74dff669", "title": "James Randi", "url": "https://sanyamkapoor.com/kb/james-randi", "published_at": "2020-10-22T06:40:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c1589a8534", "title": "C++ code snippets", "url": "https://sanyamkapoor.com/kb/c-code-snippets", "published_at": "2020-10-06T07:35:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c704f22fa", "title": "The closest thing to binary trees in nature?", "url": "https://sanyamkapoor.com/kb/the-closest-thing-to-binary-trees-in-nature", "published_at": "2020-10-05T04:11:00+00:00" }, { "id": "01a087db-7b61-734e-be12-5223f35ebf40", "title": "Orthogonal projectors and linear regression", "url": "https://sanyamkapoor.com/kb/orthogonal-projectors-and-linear-regression", "published_at": "2020-09-28T12:04:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c14a7682e4", "title": "Stigler's law of eponymy", "url": "https://sanyamkapoor.com/kb/stiglers-law-of-eponymy", "published_at": "2020-09-15T12:17:00+00:00" }, { "id": "01a087db-7b61-734e-be12-5223f3f60c65", "title": "Discovering Taylor series the hard way", "url": "https://sanyamkapoor.com/kb/discovering-taylor-series-the-hard-way", "published_at": "2020-08-30T12:35:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c1462499c1", "title": "The rabbit and the beaver", "url": "https://sanyamkapoor.com/kb/the-rabbit-and-the-beaver", "published_at": "2020-08-29T02:48:00+00:00" }, { "id": "01a087db-7b63-72e4-b154-d3c15eb147a8", "title": "Python code snippets", "url": "https://sanyamkapoor.com/kb/python-code-snippets", "published_at": "2020-08-27T11:32:00+00:00" }, { "id": "01a087db-7b61-734e-be12-5223f193d8f6", "title": "Linear Algebra Done Right", "url": "https://sanyamkapoor.com/kb/linear-algebra-done-right", "published_at": "2020-08-24T03:43:00+00:00" }, { "id": "01a087db-7b62-72f1-b691-bb7c6c3184e6", "title": "ML Fragments", "url": "https://sanyamkapoor.com/kb/ml-fragments", "published_at": "2020-08-23T05:06:00+00:00" } ] posts Claim your blog

Back to About | Sanyam Kapoor

Blog · corpus.blog/blogs/sanyamkapoor.com/posts

About | Sanyam Kapoor

sanyamkapoor.com

2025

Elo Rating and the Brier score original ↗

28 Mar 2025

Machine Learning literature original ↗

21 Feb 2025

AI Products original ↗

11 Feb 2025

Where are the category-defining AI products?original ↗

26 Jan 2025

2024

Textbooks on Various Subjects original ↗

31 Dec 2024

Self Advice original ↗

21 Dec 2024

Books original ↗

3 Dec 2024

Preset Vocabulary Tokenizers in HuggingFace Transformers original ↗

2 Dec 2024

Products original ↗

24 Nov 2024

Subscriptions and Services original ↗

28 Oct 2024

The Stack original ↗

16 Sept 2024

Muscle original ↗

17 Apr 2024

Markdown Reference original ↗

14 Apr 2024

Everything LLMs original ↗

9 Apr 2024

My Wine Map original ↗

25 Mar 2024

Life Maps original ↗

25 Mar 2024

Boquila original ↗

2 Jan 2024

2023

Commoditization original ↗

18 Dec 2023

Be Suspicious of Stories original ↗

18 Dec 2023

Hypothesis Testing original ↗

18 Dec 2023

Podcasts original ↗

9 Dec 2023

Movies and TV original ↗

24 Sept 2023

Design Inspirations original ↗

22 Aug 2023

Topics in Bayesian Machine Learning original ↗

17 Aug 2023

The Gaussian Cheatsheet original ↗

6 Aug 2023

Data Sources original ↗

2 Aug 2023

Diffusion Models original ↗

1 Aug 2023

Questions for Self-Introspection original ↗

27 Jun 2023

Music original ↗

27 Jun 2023

Reviewing Statistics original ↗

18 Jun 2023

Cross-Entropy, Label Smoothing, and Focal Loss original ↗

12 Jun 2023

Differential Entropy original ↗

12 Jun 2023

Thoughtful Essayists original ↗

29 May 2023

Higher-order gradients in PyTorch, Parallelized original ↗

27 May 2023

Notes on OOD Generalization original ↗

27 May 2023

Raw notes on Interpretable Machine Learning original ↗

27 May 2023

Gradient Boosted Decision Trees: A Recap original ↗

27 May 2023

Decision Theory original ↗

27 May 2023

Beyond Bayes original ↗

27 May 2023

Laundry original ↗

3 May 2023

Books I want to write original ↗

7 Apr 2023

Tiny Pleasures original ↗

4 Apr 2023

Mother of all Bias Models original ↗

20 Mar 2023

Choose original ↗

19 Mar 2023

Memes for my life original ↗

16 Mar 2023

Big Picture Papers original ↗

8 Jan 2023

Machine Learning courses original ↗

8 Jan 2023

2022

Topics in Numerical Analysis original ↗

28 Dec 2022

Sustainable Materials of the Future original ↗

11 Nov 2022

On good writing original ↗

30 Sept 2022

Common Yardsticks original ↗

16 Apr 2022

Force Multipliers original ↗

27 Jan 2022

Adages, Quotes original ↗

19 Jan 2022

Measuring time original ↗

8 Jan 2022

2021

Elements of Learning original ↗

14 Oct 2021

Linguistic Relativity original ↗

9 Aug 2021

Science and superstition original ↗

26 Jul 2021

Me and My Research original ↗

22 Jul 2021

Startups original ↗

19 Jul 2021

LaTeX code snippets original ↗

1 Jul 2021

Elements of the Knowledge Base original ↗

29 Jun 2021

Periodicals original ↗

29 Jun 2021

The sun and the wind original ↗

21 Jun 2021

Ideological Necrophillia original ↗

13 Jun 2021

Are ideas becoming harder to find?original ↗

31 May 2021

Cognitive and Experimental psychology original ↗

28 May 2021

Hypernormalization original ↗

27 May 2021

The "Think Different" Researcher original ↗

19 May 2021

Nikolai Vavilov original ↗

9 May 2021

On charity original ↗

6 May 2021

Bash code snippets original ↗

3 May 2021

Oddly satisfying Twitter accounts original ↗

9 Apr 2021

Numerical code snippets original ↗

7 Apr 2021

The Science of Science original ↗

31 Mar 2021

The power of abstraction original ↗

28 Feb 2021

The absolute zero of neural networks original ↗

24 Feb 2021

Intoxicated by statistics original ↗

21 Feb 2021

Dormant skills original ↗

19 Feb 2021

The CRAP Principle original ↗

18 Jan 2021

Be the horse breeder original ↗

3 Jan 2021

Math and beauty original ↗

3 Jan 2021

2020

The Gibbs distribution and general Bayes original ↗

28 Dec 2020

Big fat list of Mental Models original ↗

10 Dec 2020

Existential Risks original ↗

6 Dec 2020

Radical Scepticism original ↗

24 Nov 2020

Websites original ↗

22 Nov 2020

Why is Bayesian inference hard?original ↗

17 Nov 2020

Integraphs original ↗

10 Nov 2020

Narendra Dabholkar original ↗

10 Nov 2020

The Lessons of History original ↗

25 Oct 2020

James Randi original ↗

22 Oct 2020

C++ code snippets original ↗

6 Oct 2020

The closest thing to binary trees in nature?original ↗

5 Oct 2020

Orthogonal projectors and linear regression original ↗

28 Sept 2020

Stigler's law of eponymy original ↗

15 Sept 2020

Discovering Taylor series the hard way original ↗

30 Aug 2020

The rabbit and the beaver original ↗

29 Aug 2020

Python code snippets original ↗

27 Aug 2020

Linear Algebra Done Right original ↗

24 Aug 2020

ML Fragments original ↗

23 Aug 2020