Machine Learning
Statistics

#### Principal Component Analysis (PCA) Explained

Principal component analysis (PCA) is a workhorse algorithm in statistics, where dominant correlation patterns are extracted from high-dimensional data. Steve Brunton explains it in this great video.

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AI
Mathematics

#### Gilbert Strang on Linear Algebra, Deep Learning, Teaching, and MIT OpenCourseWare

- Frank
- November 27, 2019
- AGI
- AI
- ai podcast
- artificial intelligence
- artificial intelligence podcast
- Calculus
- column space
- Deep Learning
- gilbert strang
- introduction to linear algebra
- lex ai
- Lex Fridman
- lex jre
- lex mit
- lex podcast
- Linear Algebra
- Machine Learning
- Math
- Mathematics
- matrix
- MIT
- mit ai
- OpenCourseWare
- singular value decomposition

Lex Fridman interviews Gilbert Strang on Linear Algebra, Deep Learning, Teaching, and MIT OpenCourseWare. Gilbert Strang is a professor of mathematics at MIT and perhaps one of the most famous and impactful teachers of math in the world. His MIT OpenCourseWare lectures on linear algebra have been viewed millions of times. This conversation is part […]

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