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Linear regression (is the most important algorithm ever)
Dissecting the "Hello, World!" of machine learning
15 hrs ago
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Tivadar Danka
8
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Linear regression (is the most important algorithm ever)
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Birthday Special Offer
20% off + Mathematics of Machine Learning early access for annual subs!
Dec 5
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Tivadar Danka
4
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Birthday Special Offer
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The Computer Scientist's Guide to Graph Theory, ep. 01
Running into the woods: trees, forests, and spanning subgraphs
Dec 4
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Tivadar Danka
and
Alejandro Piad Morffis
3
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The Computer Scientist's Guide to Graph Theory, ep. 01
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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
Nov 27
•
Tivadar Danka
and
Alejandro Piad Morffis
36
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The Computer Scientist's Guide to Graph Theory, ep. 00
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A conversation with Alejandro Piad Morffis about education
Optimizing the right target variables
Nov 23
•
Tivadar Danka
and
Alejandro Piad Morffis
20
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A conversation with Alejandro Piad Morffis about education
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September 2023
The taxonomy of machine learning paradigms
Setting the stage for learning problems
Sep 18
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Tivadar Danka
7
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The taxonomy of machine learning paradigms
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Why are neural networks so powerful?
The Universal Approximation Theorem
Sep 11
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Tivadar Danka
13
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Why are neural networks so powerful?
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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
Sep 4
•
Tivadar Danka
and
Levi
31
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How large that number in the Law of Large Numbers is?
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August 2023
Min-Max Math, ep. 06: Proof by induction and contradiction
Climbing infinite staircases and other impossible feats
Aug 22
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Tivadar Danka
6
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Min-Max Math, ep. 06: Proof by induction and contradiction
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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…
Aug 14
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Tivadar Danka
21
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Is probability frequentist or Bayesian?
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Machine learning is not just statistics
Discussing the differences, the similarities, and the nuances
Aug 9
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Tivadar Danka
16
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Machine learning is not just statistics
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How does the Japanese multiplication work?
Counting sticks and stones
Aug 2
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Tivadar Danka
24
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How does the Japanese multiplication work?
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