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A visual introduction to one of probabilty's most important theorems Mar 14, 2023. Why π is in the normal distribution (beyond integral tricks) A classic proof explaining the pi in a Gaussian distribution, combined with a derivation of that distribution, the Herschel-Maxwell derivation, that explains why the proof is reasonable. Apr 2, 2023.
My name is Grant Sanderson. Videos here cover a variety of topics in math, or adjacent fields like physics and CS, all with an emphasis on visualizing the co...
A free course offering the core concept of linear algebra with a visuals-first approach.
My name is Grant Sanderson. Videos here cover a variety of topics in math, or adjacent fields like physics and CS, all with an emphasis on visualizing the co...
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1 de abr. de 2024 · Special thanks to those below for supporting the original video behind this post, and to current patrons for funding ongoing projects. If you find these lessons valuable, consider joining. Martin Mauersberg Jonathon Krall The 1111 Code Alan Stein you say long names are tricky but all I hear is sempai noticed me Keith Tyson Randy C.
5 de oct. de 2017 · Chapter 1 Oct 5, 2017. Gradient descent, how neural networks learn An overview of gradient descent in the context of neural networks. This is a method used widely throughout machine learning for optimizing how a computer performs on certain tasks. Chapter 2 Oct 16, 2017. Analyzing our neural network Chapter 3 Oct 16, 2017.
