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No strong matches for “window functions”. Here are the closest videos.
Mouse Cursor History (and why I made my own)15:09

Mouse Cursor History (and why I made my own)

3M views • 8 years ago
Posy
Posy gives a short history of the computer mouse cursor, from early straight pointers to the tilted arrow, comparing Apple and Windows designs. He then explains why he designed his own cursor set and offers it as a free download.
Portable Air Conditioners - Why you shouldn't like them16:39

Portable Air Conditioners - Why you shouldn't like them

10.4M views • 7 years ago
Technology Connections
Technology Connections explains why single-hose portable air conditioners are inefficient and often a poor choice compared with window units. It details how the single hose pulls in warm outside air and wastes energy.
Diffie-Hellman Key Exchange5:24

Diffie-Hellman Key Exchange

547K views • 14 years ago
Art of the Problem
A short Art of the Problem clip explaining Diffie-Hellman key exchange, using a paint mixing analogy for one-way functions and touching on modular arithmetic and discrete logarithms.
But what is a Fourier series?  From heat flow to drawing with circles | DE424:47

But what is a Fourier series? From heat flow to drawing with circles | DE4

19M views • 7 years ago
3Blue1Brown
3Blue1Brown introduces Fourier series, from the heat equation to drawing arbitrary shapes with rotating circles. It builds a visual intuition for decomposing functions into sine waves.
Why Adults Can't Develop Perfect Pitch16:26

Why Adults Can't Develop Perfect Pitch

1.8M views • 9 years ago
Rick Beato
Rick Beato argues that adults cannot develop true perfect pitch, which he ties to critical-period brain plasticity and language acquisition. He says it can only be developed in young children, and discusses the research behind this.
Gradient descent, how neural networks learn | Deep Learning Chapter 220:33

Gradient descent, how neural networks learn | Deep Learning Chapter 2

9.7M views • 9 years ago
3Blue1Brown
3Blue1Brown's second neural network chapter explains cost functions and gradient descent, showing how a network learns by minimizing error during training.