Видео с ютуба Complexity And Linear Algebra Boot Camp

Prerequisites for the Deep Learning Specialization Math and Programming Background Explained

Linear Systems: Basic Properties and Classical Algorithms

Tensors and their uses, especially for matrix multiplication (Part 1)

Communication-Avoiding Algorithms for Linear Algebra, Machine Learning and Beyond

Introduction to Matrix Multiplication

Introduction to non-commutative optimization - matrix & operator scaling

Diagonalization Algorithms

Algorithms for Large-Scale Eigenvalue Problems

Randomized matrix computations / Themes & Variations (Part 1)

Proving asymptotic upper bounds for matrix multiplication (Part 1)

Linear Systems: Recent Developments

Models of Computation

Math Boot Camp for Engineers | About Video

Proving asymptotic upper bounds for matrix multiplication (Part 2)

Tensors and their uses, especially for matrix multiplication (Part 2)

Why greatest Mathematicians are not trying to prove Riemann Hypothesis? || #short #terencetao #maths

Border rank lower bounds of the matrix multiplication tensor (Part 1)

Quantum-Inspired Classical Linear Algebra

Geometric Complexity Theory I: Complexity Lower Bounds...