Instructional Video19:03
3Blue1Brown

Why is pi here? And why is it squared? A geometric answer to the Basel problem

12th - Higher Ed
A beautiful solution to the Basel Problem (1+1/4+1/9+1/16+...) using Euclidian geometry. Unlike many more common proofs, this one makes it very clear why pi is involved in the answer.
Instructional Video12:08
3Blue1Brown

Inverse matrices, column space and null space | Essence of linear algebra, chapter 6

12th - Higher Ed
How do you think about the column space and null space of a matrix visually? How do you think about the inverse of a matrix?
Instructional Video17:23
3Blue1Brown

Rediscovering Euler's formula with a mug (not that Euler's formula) - Part 4 of 4

12th - Higher Ed
A classic puzzle in graph theory, the "Utilities problem", a description of why it is unsolvable on a plane, and how it becomes solvable on surfaces with a different topology.
Instructional Video10:17
3Blue1Brown

Backpropagation calculus | Deep learning, chapter 4

12th - Higher Ed
The math of backpropagation, the algorithm by which neural networks learn.
Instructional Video19:03
3Blue1Brown

Why is pi here? And why is it squared? A geometric answer to the Basel problem

12th - Higher Ed
A beautiful solution to the Basel Problem (1+1/4+1/9+1/16+...) using Euclidian geometry. Unlike many more common proofs, this one makes it very clear why pi is involved in the answer.
Instructional Video22:19
3Blue1Brown

Taylor series | Chapter 10, Essence of calculus

12th - Higher Ed
Taylor series are extremely useful in engineering and math, but what are they? This video shows why they're useful, and how to make sense of the formula.
Instructional Video16:45
3Blue1Brown

The paradox of the derivative: Essence of Calculus - Part 2 of 11

12th - Higher Ed
An introduction to what a derivative is, and how it formalizes an otherwise paradoxical idea.
Instructional Video17:04
3Blue1Brown

Essence of calculus, chapter 1

12th - Higher Ed
An overview of what calculus is all about, with an emphasis on making it seem like something students could discover for themselves. The central example is that of rediscovering the formula for a circle's area, and how this is an...
Instructional Video5:04
3Blue1Brown

Essence of linear algebra preview

12th - Higher Ed
The introduction to a series on visualizing core ideas of linear algebra.
Instructional Video19:36
3Blue1Brown

Science YouTubers attempting a graph theory puzzle

12th - Higher Ed
A classic puzzle in graph theory, the "Utilities problem", a description of why it is unsolvable on a plane, and how it becomes solvable on surfaces with a different topology.
Instructional Video5:04
3Blue1Brown

Essence of Linear Algebra: Preview

12th - Higher Ed
The introduction to a series on visualizing core ideas of linear algebra.
Instructional Video22:19
3Blue1Brown

Taylor series | Essence of calculus, chapter 11

12th - Higher Ed
Taylor series are extremely useful in engineering and math, but what are they? This video shows why they're useful, and how to make sense of the formula.
Instructional Video13:17
3Blue1Brown

Music And Measure Theory

12th - Higher Ed
How one of the introductory ideas in a field called "measure theory" can be thought of in terms of musical harnomy and dissonance.
Instructional Video26:37
3Blue1Brown

The Wallis product for pi, proved geometrically

12th - Higher Ed
A proof of the Wallis product for pi, together with some neat tricks using complex numbers to analyze circle geometry.
Instructional Video15:07
3Blue1Brown

What does it feel like to invent math?

12th - Higher Ed
A journey through infinite sums, p-adic numbers, and what it feels like to invent new math.
Instructional Video19:58
3Blue1Brown

Gradient descent, how neural networks learn: Deep learning - Part 2 of 4

12th - Higher Ed
An overview of gradient descent in the context of neural networks. This is a method used widely throughout machine learning for optimizing how a computer performs on certain tasks.
Instructional Video21:00
3Blue1Brown

Gradient descent, how neural networks learn | Chapter 2, deep learning

12th - Higher Ed
An overview of gradient descent in the context of neural networks. This is a method used widely throughout machine learning for optimizing how a computer performs on certain tasks.
Instructional Video19:01
3Blue1Brown

Integration and the fundamental theorem of calculus: Essence of Calculus - Part 8 of 11

12th - Higher Ed
What is integration? Why is it computed as the opposite of differentiation? What is the fundamental theorem of calculus?
Instructional Video16:58
3Blue1Brown

All possible pythagorean triples, visualized

12th - Higher Ed
There are a few special right triangles many of us learn about in school, like the 3-4-5 triangle or the 5-12-13 triangle. Is there a way to understand all triplets of numbers (a, b, c) that satisfy a^2 + b^2 = c^2? There is! And it uses...
Instructional Video23:12
3Blue1Brown

Simulating an epidemic

12th - Higher Ed
SIR models for epidemics, showing how tweakign behavior can change an outbreak.
Instructional Video19:49
3Blue1Brown

Sneaky Topology (The Borsuk-Ulam theorem)

12th - Higher Ed
Solving a discrete math puzzle, namely the stolen necklace problem, using topology, namely the Borsuk Ulam theorem
Instructional Video10:17
3Blue1Brown

Backpropagation calculus | Appendix to deep learning chapter 3

12th - Higher Ed
The math of backpropagation, the algorithm by which neural networks learn.
Instructional Video5:38
3Blue1Brown

Higher order derivatives | Footnote, Essence of calculus

12th - Higher Ed
What is the second derivative? Third derivative? How do you think about these?
Instructional Video5:06
3Blue1Brown

How secure is 256 bit security?

12th - Higher Ed
When a piece of cryptography is described as having "256-bit security", what exactly does that mean? Just how big is the number 2^256?