tommy / data-science-blogposts
Individual blog posts on data science, statistics, mathematics, optimization, algorithms, etc.
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A Recipe for Training Neural Networks - Andrej Karpathy
(karpathy.github.io)
Added 1 month ago
I have developed a specific process for myself that I follow when applying a neural net to a new problem, which I will try to describe.
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Simplicity is An Advantage but Sadly Complexity Sells Better
(eugeneyan.com)
Added 1 month ago
Pushing back on the cult of complexity.
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The Bitter Lesson - Richard S. Sutton
(cs.utexas.edu)
Added 1 month ago
The biggest lesson from 70 years of AI research is that general methods that leverage computation are ultimately the most effective.
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Why "controlling for a variable" doesn't (usually) work
(dynomight.net)
Added 1 month ago
It's just adding a variable to a regression.
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Simpson's paradox all the way down
(dynomight.net)
Added 1 month ago
Visualizes Simpson's paradox, and shows how it's a deeper problem than many people realize.
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Added 1 month ago
A well-written blog post on partial pooling in linear regression. Also called hierarchical models, mixed-effects models, regularization, etc.
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Bayesian Rock Climbing Rankings | Ethan Rosenthal
(ethanrosenthal.com)
Added 1 month ago
Item response theory theory in action on rock climbing routes, with code in Stan.
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Simulating Chutes & Ladders in Python | Pythonic Perambulations
(jakevdp.github.io)
Added 1 month ago
An introduction to direct simulation, Markov processes, entropy and eigenvectors - with Python code.
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Examples of floating point problems
(jvns.ca)
Added 1 month ago
Specific examples of floating point bugs in real-world programs.
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Weights in statistics - Biased and Inefficient
(notstatschat.rbind.io)
Added 1 month ago
Comparing precision weights, frequency weights and sampling weights.
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Created: May 12, 2025 Updated: May 26, 2025
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