A* Graph Search Optimality

Why it's on BrighterTube

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Round-15 hunt: picked; source: course-code long-video search (r15); channel screens (sellers/exam/re-upload/devotional/vendor/events), provenance check, vendor/seller/devotional recheck and quality tier B passed; strict per-title check + final strict pass; oEmbed verified.

What you'll learn

A 26-minute video from CS 188: “A* Graph Search Optimality”.

Programming & CS

Video by CS 188, played through YouTube's embedded player.

1:17:24

CS 188 Lecture 23: Optimization CS 188Programming & CS

1:11:09

CS 188 Lecture 14: Bayes Net Inference CS 188Programming & CS

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The spelled-out intro to neural networks and backpropagation: building micrograd Andrej KarpathyProgramming & CS

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The Beauty of Bézier Curves Freya HolmérProgramming & CS

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RailsConf 2014 - All the Little Things by Sandi Metz ConfreaksProgramming & CS

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1:17:24

CS 188 Lecture 23: Optimization

CS 188

A 77-minute video from CS 188: “CS 188 Lecture 23: Optimization”.

1:11:09

CS 188 Lecture 14: Bayes Net Inference

CS 188

A 71-minute video from CS 188: “CS 188 Lecture 14: Bayes Net Inference”.

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

3Blue1Brown

Intro25.1M views

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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Andrej Karpathy

8.21M views

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

3Blue1Brown

Intro11.6M views

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

The spelled-out intro to neural networks and backpropagation: building micrograd

Andrej Karpathy

Intro4.41M views

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

24:26

The Beauty of Bézier Curves

Freya Holmér

2.23M views

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

CS50x 2024 - Lecture 1 - C

CS50

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

“Hello, world” from scratch on a 6502 — Part 1

Ben Eater

5.85M views

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

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Confreaks

65.7K views

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.

2:04:55

CS50x 2024 - Lecture 0 - Scratch

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CS50x 2024 lecture 0: how computers represent information, algorithms, and first programs in Scratch.

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Confreaks

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Sandi Metz refactors the notorious Gilded Rose kata live, showing how small, disciplined steps and duplication-over-wrong-abstraction lead to clean object-oriented code.