TED Talks
TED: Fight for justice — even if you don't live to see it | Golriz Lucina
Storyteller Golriz Lucina recounts how the historic sacrifice of Iranian 19th-century poet and mystic Táhirih planted the seeds for the "Woman, Life, Freedom" protests today, offering an inspiring lesson in the value of acting with...
PBS
Our Antimatter, Mirrored, Time-Reversed Universe
The foundations of quantum theory rests on its symmetries. For example, it should be impossible to distinguish our universe from one that is that is the perfect mirror opposite in charge, handedness, and the direction of time. But one by...
SciShow
Where Did That One Thick, Dark Hair Come From?
Some days you look in the mirror and find a long dark hair where it didn't use to be. Maybe you're going through puberty, pregnancy, or menopause. Maybe you're not. But either way, that hair didn't appear out of nowhere. It just went...
TED Talks
TED: How to unleash your inner maximalist through costume | Machine Dazzle
Tapping into the transformational power of costume, concept artist Machine Dazzle takes us on a maximalist journey through art, history and fashion. From a jaw-droppingly intricate '60s bouffant ensemble to a 24-hour show of extravagant...
3Blue1Brown
Eigenvectors and eigenvalues | Essence of linear algebra, chapter 14
Eigenvalues and eigenvectors are one of the most important ideas in linear algebra, but what on earth are they?
3Blue1Brown
Cramer's rule, explained geometrically | Essence of linear algebra, chapter 12
What Cramer's rule is, and a geometric reason it's true
3Blue1Brown
Abstract vector spaces | Essence of linear algebra, chapter 11
What is a vector space? Even though they are initial taught in the context of arrows in space, or with vectors being lists of numbers, the idea is much more general and far-reaching.
3Blue1Brown
Eigenvectors and eigenvalues: Essence of Linear Algebra - Part 14 of 15
Eigenvalues and eigenvectors are one of the most important ideas in linear algebra, but what on earth are they?
3Blue1Brown
Cross products in the light of linear transformations | Essence of linear algebra chapter 11
The formula for the cross product can feel like a mystery, or some kind of crazy coincidence. But it isn't. There is a fundamental connection between the cross product and determinants.
3Blue1Brown
Three-dimensional linear transformations: Essence of Linear Algebra - Part 5 of 15
How to think of 3x3 matrices as transforming 3d space
3Blue1Brown
Abstract vector spaces: Essence of Linear Algebra - Part 15 of 15
What is a vector space? Even though they are initial taught in the context of arrows in space, or with vectors being lists of numbers, the idea is much more general and far-reaching.
3Blue1Brown
Change of basis: Essence of Linear Algebra - Part 13 of 15
What is a change of basis, and how do you do it?
3Blue1Brown
Change of basis | Essence of linear algebra, chapter 13
What is a change of basis, and how do you do it?
3Blue1Brown
Dot products and duality | Essence of linear algebra, chapter 7
What is the dot product? What does it represent? Why does it have the formula that it does? All this is explained visually.
3Blue1Brown
Dot products and duality | Essence of linear algebra, chapter 9
What is the dot product? What does it represent? Why does it have the formula that it does? All this is explained visually.
3Blue1Brown
Cross products | Essence of linear algebra, Chapter 8
The cross product is a way to multiple to vectors in 3d. This video shows how to visualize what it means.
3Blue1Brown
Cross products in the light of linear transformations | Essence of linear algebra chapter 8 part 2
The formula for the cross product can feel like a mystery, or some kind of crazy coincidence. But it isn't. There is a fundamental connection between the cross product and determinants.
3Blue1Brown
Cramer's rule, explained geometrically: Essence of Linear Algebra - Part 12 of 15
This rule seems random to many students, but it has a beautiful reason for being true.
3Blue1Brown
Nonsquare matrices as transformations between dimensions | Essence of linear algebra, chapter 8
How do you think about a non-square matrix as a transformation?
3Blue1Brown
Cross products | Essence of linear algebra, Chapter 10
The cross product is a way to multiple to vectors in 3d. This video shows how to visualize what it means.
Bozeman Science
AP Biology Labs - part 2
Paul Andersen explains the final 6 of 13 AP Biology Labs. The following topics are included: Transformation, Restriction Analysis of DNA, Energy Dynamics, Transpiration, Animal Behavior, and Enzyme Activity.
3Blue1Brown
Inverse matrices, column space and null space: Essence of Linear Algebra - Part 7 of 15
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?
TED Talks
Shimon Schocken: The self-organizing computer course
Shimon Schocken and Noam Nisan developed a curriculum for their students to build a computer, piece by piece. When they put the course online -- giving away the tools, simulators, chip specifications and other building blocks -- they...
3Blue1Brown
Cross products in the light of linear transformations: Essence of Linear Algebra - Part 11 of 15
The formula for the cross product can feel like a mystery, or some kind of crazy coincidence. But it isn't. There is a fundamental connection between the cross product and determinants.