EPFL Machine Learning Course 2021 - Week 3 part 2

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New channel ML Course EPFL: title sample judged 'whole' (Full lecture recordings and exercise walkthroughs from an EPFL master's ML course, nearly all long-form teaching content); passed a second screen for sellers/exam-prep/re-uploads; 2 of 3 sampled transcripts showed teaching, 0 not; every title checked strictly; oEmbed verified.

What you'll learn

A 91-minute video from ML Course EPFL: “EPFL Machine Learning Course 2021 - Week 3 part 2”.

Programming & CS

Video by ML Course EPFL, played through YouTube's embedded player.

1:33:39

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How semiconductors work Ben EaterEngineering

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1:33:39

EPFL Machine Learning Course 2020 and 2021 - Week 1 part 1

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A 94-minute video from ML Course EPFL: “EPFL Machine Learning Course 2020 and 2021 - Week 1 part 1”.

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EPFL Machine Learning Course 2021 - Week 9 part 2

ML Course EPFL

A 88-minute video from ML Course EPFL: “EPFL Machine Learning Course 2021 - Week 9 part 2”.

But what is a neural network? | Deep learning chapter 1

3Blue1Brown

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Builds up what a neural network actually is — neurons as numbers, layers, weights and biases — using handwritten-digit recognition as the running example.

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Building a GPT-style language model from scratch in code, following 'Attention Is All You Need'.

Transformers, the tech behind LLMs | Deep Learning Chapter 5

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Intro11.6M views

How transformer models (the 'T' in GPT) turn text into vectors and predict the next token, step by step.

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Building micrograd, a tiny autograd engine, to understand backpropagation completely.

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Advanced568K views

Mark Ferrari shows how 8-bit era artists used palette cycling, dithering and tile tricks to get rich images out of tiny palettes.

24:26

The Beauty of Bézier Curves

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Freya Holmér builds Bézier curves from linear interpolation up, covering de Casteljau's algorithm, derivatives, arc length and their use in games and graphics.

2:27:41

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CS50x 2024 lecture 1: an introduction to C — syntax, types, conditionals, loops and compiling.

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How semiconductors work: doping, P-type and N-type silicon and the PN junction.

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Building a computer around the 6502 processor on a breadboard and running 'Hello, world'.

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Jim Weirich derives the Y combinator live, step by step, using nothing but Ruby lambdas, and along the way teaches the refactorings of lambda calculus.