3b1b

Taylor series | Chapter 11, Essence of calculus

22:20

Taylor series | Chapter 11, Essence of calculus
The essence of calculus

17:05

The essence of calculus
The paradox of the derivative | Chapter 2, Essence of calculus

16:50

The paradox of the derivative | Chapter 2, Essence of calculus
Divergence and curl: The language of Maxwell's equations, fluid flow, and more

15:42

Divergence and curl: The language of Maxwell's equations, fluid flow, and more
Differential equations, a tourist's guide | DE1

27:16

Differential equations, a tourist's guide | DE1
But what is the Fourier Transform? A visual introduction.

20:57

But what is the Fourier Transform? A visual introduction.
Implicit differentiation, what's going on here? | Chapter 6, Essence of calculus

15:34

Implicit differentiation, what's going on here? | Chapter 6, Essence of calculus
Dot products and duality | Chapter 9, Essence of linear algebra

14:12

Dot products and duality | Chapter 9, Essence of linear algebra
Backpropagation calculus | Chapter 4, Deep learning

10:18

Backpropagation calculus | Chapter 4, Deep learning
Derivative formulas through geometry | Chapter 3, Essence of calculus

17:34

Derivative formulas through geometry | Chapter 3, Essence of calculus
But what is a convolution?

23:01

But what is a convolution?
What is backpropagation really doing? | Chapter 3, Deep learning

12:47

What is backpropagation really doing? | Chapter 3, Deep learning
Abstract vector spaces | Chapter 16, Essence of linear algebra

16:46

Abstract vector spaces | Chapter 16, Essence of linear algebra
Limits, L'Hôpital's rule, and epsilon delta definitions | Chapter 7, Essence of calculus

18:27

Limits, L'Hôpital's rule, and epsilon delta definitions | Chapter 7, Essence of calculus
Visualizing the chain rule and product rule | Chapter 4, Essence of calculus

15:56

Visualizing the chain rule and product rule | Chapter 4, Essence of calculus
Integration and the fundamental theorem of calculus | Chapter 8, Essence of calculus

20:46

Integration and the fundamental theorem of calculus | Chapter 8, Essence of calculus
But what is a neural network? | Chapter 1, Deep learning

18:40

But what is a neural network? | Chapter 1, Deep learning
But what is a Fourier series? From heat flow to drawing with circles | DE4

24:47

But what is a Fourier series? From heat flow to drawing with circles | DE4
Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebra

17:16

Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebra
But what is the Central Limit Theorem?

31:15

But what is the Central Limit Theorem?
Why π is in the normal distribution (beyond integral tricks)

24:46

Why π is in the normal distribution (beyond integral tricks)
Gradient descent, how neural networks learn | Chapter 2, Deep learning

20:33

Gradient descent, how neural networks learn | Chapter 2, Deep learning
What does area have to do with slope? | Chapter 9, Essence of calculus

12:39

What does area have to do with slope? | Chapter 9, Essence of calculus
The hardest problem on the hardest test

11:15

The hardest problem on the hardest test
But how does bitcoin actually work?

25:16

But how does bitcoin actually work?
The other way to visualize derivatives | Chapter 12, Essence of calculus

14:26

The other way to visualize derivatives | Chapter 12, Essence of calculus
Euler's formula with introductory group theory

24:28

Euler's formula with introductory group theory
Thinking outside the 10-dimensional box

27:07

Thinking outside the 10-dimensional box
Researchers thought this was a bug (Borwein integrals)

17:26

Researchers thought this was a bug (Borwein integrals)
Cramer's rule, explained geometrically | Chapter 12, Essence of linear algebra

12:12

Cramer's rule, explained geometrically | Chapter 12, Essence of linear algebra
The more general uncertainty principle, regarding Fourier transforms

19:21

The more general uncertainty principle, regarding Fourier transforms
The medical test paradox, and redesigning Bayes' rule

21:14

The medical test paradox, and redesigning Bayes' rule
Cross products in the light of linear transformations | Chapter 11, Essence of linear algebra

13:10

Cross products in the light of linear transformations | Chapter 11, Essence of linear algebra
Inverse matrices, column space and null space | Chapter 7, Essence of linear algebra

12:09

Inverse matrices, column space and null space | Chapter 7, Essence of linear algebra
Cross products | Chapter 10, Essence of linear algebra

8:54

Cross products | Chapter 10, Essence of linear algebra
Change of basis | Chapter 13, Essence of linear algebra

12:51

Change of basis | Chapter 13, Essence of linear algebra
Why is pi here? And why is it squared? A geometric answer to the Basel problem

17:08

Why is pi here? And why is it squared? A geometric answer to the Basel problem
Binomial distributions | Probabilities of probabilities, part 1

12:34

Binomial distributions | Probabilities of probabilities, part 1
Convolutions | Why X+Y in probability is a beautiful mess

27:25

Convolutions | Why X+Y in probability is a beautiful mess
Pi hiding in prime regularities

30:42

Pi hiding in prime regularities
Solving Wordle using information theory

30:38

Solving Wordle using information theory
e^(iπ) in 3.14 minutes, using dynamics | DE5

4:08

e^(iπ) in 3.14 minutes, using dynamics | DE5
Who cares about topology? (Inscribed rectangle problem)

18:16

Who cares about topology? (Inscribed rectangle problem)
Group theory, abstraction, and the 196,883-dimensional monster

21:58

Group theory, abstraction, and the 196,883-dimensional monster
Simulating an epidemic

23:12

Simulating an epidemic
Q&A with Grant Sanderson (3blue1brown)

10:21

Q&A with Grant Sanderson (3blue1brown)
All possible pythagorean triples, visualized

16:58

All possible pythagorean triples, visualized
Olympiad level counting (Generating functions)

34:36

Olympiad level counting (Generating functions)
Beyond the Mandelbrot set, an intro to holomorphic dynamics

27:36

Beyond the Mandelbrot set, an intro to holomorphic dynamics
How colliding blocks act like a beam of light...to compute pi.

14:41

How colliding blocks act like a beam of light...to compute pi.
How (and why) to raise e to the power of a matrix | DE6

27:07

How (and why) to raise e to the power of a matrix | DE6
How to lie using visual proofs

18:49

How to lie using visual proofs
Why “probability of 0” does not mean “impossible” | Probabilities of probabilities, part 2

10:01

Why “probability of 0” does not mean “impossible” | Probabilities of probabilities, part 2
But what is a partial differential equation? | DE2

17:39

But what is a partial differential equation? | DE2
A pretty reason why Gaussian + Gaussian = Gaussian

13:16

A pretty reason why Gaussian + Gaussian = Gaussian
This pattern breaks, but for a good reason | Moser's circle problem

16:13

This pattern breaks, but for a good reason | Moser's circle problem
A quick trick for computing eigenvalues | Chapter 15, Essence of linear algebra

13:13

A quick trick for computing eigenvalues | Chapter 15, Essence of linear algebra
From Newton’s method to Newton’s fractal (which Newton knew nothing about)

26:06

From Newton’s method to Newton’s fractal (which Newton knew nothing about)
Using topology for discrete problems | The Borsuk-Ulam theorem and stolen necklaces

19:22

Using topology for discrete problems | The Borsuk-Ulam theorem and stolen necklaces
Fractals are typically not self-similar

21:36

Fractals are typically not self-similar