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About this video

From a channel a BrighterTube curator vetted · 80% confidence

From a channel Lumen includes in full: Prof. Nathan Kutz (University of Washington applied mathematics) lectures chapter by chapter through data-driven science and machine learning: regression, Koopman operators, time-stepping, MDPs.

A 49-minute video from Nathan Kutz's catalogue; the title names its topic.

Science & Math Programming & CS

Video by Nathan Kutz, played through YouTube's embedded player.

13:24

Chapter 14.4 - Time Frequency Analysis & Windowed Fourier Transform Nathan KutzScience & Math

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Chapter 14.2 - Radar Detection & Filtering Nathan KutzScience & Math

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The Beauty of Bézier Curves Freya HolmérProgramming & CS

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The Continuity of Splines Freya HolmérProgramming & CS

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Diffie-Hellman Key Exchange Art of the ProblemProgramming & CS

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A Better Default Colormap for Matplotlib | SciPy 2015 | Nathaniel Smith and Stéfan van der Walt EnthoughtProgramming & CS

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JPEG DCT, Discrete Cosine Transform (JPEG Pt2)- Computerphile ComputerphileProgramming & CS

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Category Theory 1.1: Motivation and Philosophy Bartosz MilewskiProgramming & CS

394K views

13:24

Chapter 14.4 - Time Frequency Analysis & Windowed Fourier Transform

Nathan Kutz

86 views

A 13-minute video from Nathan Kutz's catalogue; the title names its topic.

6:45

Chapter 14.2 - Radar Detection & Filtering

Nathan Kutz

89 views

A 7-minute video from Nathan Kutz's catalogue; the title names its topic.

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.

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.

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.

The Most Underrated Algorithm

Veritasium

10.7M views

The history and inner workings of the Fast Fourier Transform, from nuclear test detection to everyday signal processing.

1:13:50

The Continuity of Splines

Freya Holmér

1.89M views

A follow-up on splines: the different kinds of continuity (C and G), and how Hermite, Catmull-Rom, B-splines and NURBS trade them off.

8:38

Diffie-Hellman Key Exchange

Art of the Problem

938K views

Art of the Problem explains Diffie–Hellman key exchange with the paint-mixing analogy and then the modular-arithmetic version.

Coding Adventure: Simulating Fluids

Sebastian Lague

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Building a fluid simulation step by step with smoothed-particle hydrodynamics.

A Better Default Colormap for Matplotlib | SciPy 2015 | Nathaniel Smith and Stéfan van der Walt

Enthought

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Nathaniel Smith and Stéfan van der Walt explain colour perception and perceptual uniformity, and how they designed viridis, Matplotlib's new default colormap.

JPEG DCT, Discrete Cosine Transform (JPEG Pt2)- Computerphile

Computerphile

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Computerphile explains the discrete cosine transform at the heart of JPEG compression.

Category Theory 1.1: Motivation and Philosophy

Bartosz Milewski

394K views

The first lecture of Bartosz Milewski's Category Theory for Programmers: why abstraction and composition matter, and what category theory offers programmers.