Video yükleniyor...

Video Yüklenemedi

Bu video yüklenirken bir sorun oluştu. Bu geçici bir ağ sorunundan kaynaklanıyor olabilir veya video kullanılamıyor olabilir.

Ana Sayfaya Dön

Prof. Gilbert Strang from MIT giving a lecture on Linear Algebra - solving a system of two linear equations using a matrix. He really was a great teacher! I think he is now retired.

Martin

24,347 subscribers

41,669 görüntüleme • 2 ay önce •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

The most important equation in statistics is the Normal Equations AᵀA x̂ = Aᵀb. It's the foundation of linear regression. Source: Professor Gilbert Strang, MIT.

The most important equation in statistics is the Normal Equations AᵀA x̂ = Aᵀb. It's the foundation of linear regression. Source: Professor Gilbert Strang, MIT.

tetsuo

74,839 görüntüleme • 7 ay önce

I got a viewer request to solve this system of linear equations

I got a viewer request to solve this system of linear equations

Howie Hua

17,216 görüntüleme • 6 ay önce

Rössler Attractor: A system of three non-linear ordinary differential equations.

Rössler Attractor: A system of three non-linear ordinary differential equations.

The Math Flow

39,179 görüntüleme • 2 ay önce

I took Gilbert Strang’s course at MIT, and it profoundly shaped how I think. One fun memory: an acappella group stormed into class on Valentine’s Day to serenade a student, Prof Strang was thoroughly amused! MIT CSAIL

I took Gilbert Strang’s course at MIT, and it profoundly shaped how I think. One fun memory: an acappella group stormed into class on Valentine’s Day to serenade a student, Prof Strang was thoroughly amused! MIT CSAIL

Pinar Yanardag @ICML2026

49,847 görüntüleme • 8 gün önce

IN 1999 MIT FILMED A MATH LECTURE THAT QUIETLY BECAME THE FOUNDATION OF EVERY AI MODEL YOU'VE EVER USED AND ALMOST NO ONE WAS TAUGHT TO SEE IT THAT WAY 39 minutes from Gilbert Strang, who taught this at MIT for over 60 years -- the linear algebra course an entire generation of engineers and data scientists grew up on. -> The shift it creates: you stop seeing matrices as boring grids of numbers and start seeing them as the language of space, data, and motion itself. School drilled you to crunch matrices by hand and never told you why. Strang shows you what they actually mean. Every neural net, every embedding, every model you prompt is linear algebra running underneath. The math you skipped is the engine of the thing you use all day. Memorizing the steps was never the skill -> seeing what the numbers do is. This is where it finally clicks. Most people fear linear algebra and move on. The ones who watched this see straight into how AI actually works. Bookmark & Watch it today, this one's a legend ↓

IN 1999 MIT FILMED A MATH LECTURE THAT QUIETLY BECAME THE FOUNDATION OF EVERY AI MODEL YOU'VE EVER USED AND ALMOST NO ONE WAS TAUGHT TO SEE IT THAT WAY 39 minutes from Gilbert Strang, who taught this at MIT for over 60 years -- the linear algebra course an entire generation of engineers and data scientists grew up on. -> The shift it creates: you stop seeing matrices as boring grids of numbers and start seeing them as the language of space, data, and motion itself. School drilled you to crunch matrices by hand and never told you why. Strang shows you what they actually mean. Every neural net, every embedding, every model you prompt is linear algebra running underneath. The math you skipped is the engine of the thing you use all day. Memorizing the steps was never the skill -> seeing what the numbers do is. This is where it finally clicks. Most people fear linear algebra and move on. The ones who watched this see straight into how AI actually works. Bookmark & Watch it today, this one's a legend ↓

slash1s

426,905 görüntüleme • 8 gün önce

How can we find all integer solutions to 3x+2y=100? Here's a quick introduction to solving linear Diophantine equations.

How can we find all integer solutions to 3x+2y=100? Here's a quick introduction to solving linear Diophantine equations.

Howie Hua

14,181 görüntüleme • 3 ay önce

Dr. Robert Snellman's eight-hour course: The Fundamentals of Mathematics: Algebra, is available now. Enroll now for immediate access at Peterson Academy. Accompanying the course are practice questions as well! In this course, Dr. Snellman offers an accelerated and comprehensive introduction to algebra. He begins with basic variable manipulation and linear equations, then progresses to polynomials, quadratic equations, and exponential functions. Guided by Dr. Snellman, we build a strong mathematical foundation through a systematic study of functions, graphs, and solution methods, with a consistent emphasis on real-world applications in physics, finance, and cryptography. The course introduces increasingly sophisticated mathematical concepts and culminates in systems of linear equations and matrix operations, demonstrating how algebraic thinking can model and solve meaningful, practical problems.

Dr. Robert Snellman's eight-hour course: The Fundamentals of Mathematics: Algebra, is available now. Enroll now for immediate access at Peterson Academy. Accompanying the course are practice questions as well! In this course, Dr. Snellman offers an accelerated and comprehensive introduction to algebra. He begins with basic variable manipulation and linear equations, then progresses to polynomials, quadratic equations, and exponential functions. Guided by Dr. Snellman, we build a strong mathematical foundation through a systematic study of functions, graphs, and solution methods, with a consistent emphasis on real-world applications in physics, finance, and cryptography. The course introduces increasingly sophisticated mathematical concepts and culminates in systems of linear equations and matrix operations, demonstrating how algebraic thinking can model and solve meaningful, practical problems.

Peterson Academy

59,142 görüntüleme • 1 yıl önce

If you haven't introduced solving linear equations with bar models, I highly recommend it. Here's why:

If you haven't introduced solving linear equations with bar models, I highly recommend it. Here's why:

Howie Hua

24,416 görüntüleme • 8 ay önce

This is a great lecture at MIT by David Shirokoff on Markov Chains. He covers the fundamentals of Markov Chains using a simple particle movement example. He starts by explaining how a particle moves between two positions, A & B, with different probabilities. From there, the talk converts the problem into matrix form using a Markov matrix. The main topics covered are: - Transition probabilities - Markov matrices - Probability vectors - Matrix multiplication in Markov Chains - Finding probabilities after n steps - Eigenvalues and eigenvectors - Matrix diagonalization - Long-term steady state distribution

This is a great lecture at MIT by David Shirokoff on Markov Chains. He covers the fundamentals of Markov Chains using a simple particle movement example. He starts by explaining how a particle moves between two positions, A & B, with different probabilities. From there, the talk converts the problem into matrix form using a Markov matrix. The main topics covered are: - Transition probabilities - Markov matrices - Probability vectors - Matrix multiplication in Markov Chains - Finding probabilities after n steps - Eigenvalues and eigenvectors - Matrix diagonalization - Long-term steady state distribution

𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮— 𝗲/𝗮𝗰𝗰

140,734 görüntüleme • 1 ay önce

New episode! Michael Nielsen joins tylercowen to discuss the beauty of the universe, quantum computing, Simone Weil, finding good collaborators, and...the status of linear algebra? COWEN: Is the status of linear algebra rising? NIELSEN: [laughs] That’s a great question. It probably has, yes. COWEN: It’s prominent in quantum, right? It’s prominent in AI. NIELSEN: Google is built on matrix multiplication. It’s prominent for a lot of reasons. COWEN: What should we infer from that about the whole nature of the world?

New episode! Michael Nielsen joins tylercowen to discuss the beauty of the universe, quantum computing, Simone Weil, finding good collaborators, and...the status of linear algebra? COWEN: Is the status of linear algebra rising? NIELSEN: [laughs] That’s a great question. It probably has, yes. COWEN: It’s prominent in quantum, right? It’s prominent in AI. NIELSEN: Google is built on matrix multiplication. It’s prominent for a lot of reasons. COWEN: What should we infer from that about the whole nature of the world?

Conversations with Tyler

94,765 görüntüleme • 2 yıl önce

When I got into a huge Student Debt, but some random dude on the Internet is using Linear Search instead of a Hash Table! Absolutely infuriating!

When I got into a huge Student Debt, but some random dude on the Internet is using Linear Search instead of a Hash Table! Absolutely infuriating!

Тsфdiиg

52,621 görüntüleme • 2 yıl önce

Set Yourself on Fire is now available on Steam A linear visual novel. A quiet town awaits death. Stagnation is the default state of being. Two aimless young women fall in love.

Set Yourself on Fire is now available on Steam A linear visual novel. A quiet town awaits death. Stagnation is the default state of being. Two aimless young women fall in love.

Denhop

244,804 görüntüleme • 2 ay önce

A few tips on how to oversee agent work inside your Linear workspace:

A few tips on how to oversee agent work inside your Linear workspace:

Linear

68,902 görüntüleme • 3 ay önce

We built a @Linear integration! Now you can run Devin on your entire ticket backlog. Our Devin x Linear workflow 👇

We built a @Linear integration! Now you can run Devin on your entire ticket backlog. Our Devin x Linear workflow 👇

Cognition

147,912 görüntüleme • 1 yıl önce

the first free interactive linear algebra textbook: - vectors and matrices - dot product and vector product - determinants - matrix ranks - eigenvalues and eigenvectors

the first free interactive linear algebra textbook: - vectors and matrices - dot product and vector product - determinants - matrix ranks - eigenvalues and eigenvectors

ℏεsam

63,641 görüntüleme • 1 yıl önce

🚨FLASHBACK Trump at the CDC in 2020: “You know my Uncle was a great -- he was at MIT. He taught at MIT for a record number of years. He was a great super genius, Dr. John Trump. I like this stuff. I really get it. People are surprised that I understand it...Maybe I have a natural ability. Maybe I should've done that instead of running for president.” #TrumpMentalHealth

🚨FLASHBACK Trump at the CDC in 2020: “You know my Uncle was a great -- he was at MIT. He taught at MIT for a record number of years. He was a great super genius, Dr. John Trump. I like this stuff. I really get it. People are surprised that I understand it...Maybe I have a natural ability. Maybe I should've done that instead of running for president.” #TrumpMentalHealth

Republicans against Trump

3,114,672 görüntüleme • 2 yıl önce

"Boy is angry at teacher now." 🔥 He got outraged as the teacher was giving old books to his friend. Now he is determined to file a complaint against the teacher. What a cute friendship among these kids.

"Boy is angry at teacher now." 🔥 He got outraged as the teacher was giving old books to his friend. Now he is determined to file a complaint against the teacher. What a cute friendship among these kids.

Suraj Kumar Bauddh

16,356 görüntüleme • 2 ay önce

emulating swing in a program meant for linear notation is really hard.. should i make the whole song

emulating swing in a program meant for linear notation is really hard.. should i make the whole song

chayre5792

29,314 görüntüleme • 1 yıl önce

Fox News: How do you deal with people who might be disappointed because they voted for you on the assumption of no wars? Trump: Well, I have to do something in terms of making America great and keeping America great. My uncle was a great professor at MIT. He really got it. He was a highly respected man. He was there for 41 years at MIT.

Fox News: How do you deal with people who might be disappointed because they voted for you on the assumption of no wars? Trump: Well, I have to do something in terms of making America great and keeping America great. My uncle was a great professor at MIT. He really got it. He was a highly respected man. He was there for 41 years at MIT.

FactPost

281,446 görüntüleme • 3 ay önce

He was such a great teacher ❤️

He was such a great teacher ❤️

Funkeeee

557,872 görüntüleme • 1 yıl önce