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Linear regression (is the most important algorithm ever)
Dissecting the "Hello, World!" of machine learning
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Birthday Special Offer
20% off + Mathematics of Machine Learning early access for annual subs!
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The Computer Scientist's Guide to Graph Theory, ep. 01
Running into the woods: trees, forests, and spanning subgraphs
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Alejandro Piad Morffis
November 2023
The Computer Scientist's Guide to Graph Theory, ep. 00
Or what does your brain, your friends, and the city you live in have in common
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Alejandro Piad Morffis
1
A conversation with Alejandro Piad Morffis about education
Optimizing the right target variables
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Alejandro Piad Morffis
6
September 2023
The taxonomy of machine learning paradigms
Setting the stage for learning problems
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3
Why are neural networks so powerful?
The Universal Approximation Theorem
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How large that number in the Law of Large Numbers is?
All large numbers are large, but some are larger than others
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 and 
Levi
August 2023
Min-Max Math, ep. 06: Proof by induction and contradiction
Climbing infinite staircases and other impossible feats
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Is probability frequentist or Bayesian?
The single biggest argument about statistics: is probability frequentist or Bayesian? It's both, and I'll explain why. Buckle up. Deep-dive explanation…
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Machine learning is not just statistics
Discussing the differences, the similarities, and the nuances
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How does the Japanese multiplication work?
Counting sticks and stones
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3
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