Matrices Courses and Certifications

Career Certificate

Mathematics for Machine Learning

15072 ratings at Coursera

Gain essential mathematical foundations for machine learning, covering linear algebra, multivariate calculus, and dimensionality reduction with PCA. Build intuitive understanding and practical skills for advanced ML and data science.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

DeepLearning.AI;  Stanford

Supervised Machine Learning: Regression and Classification

32612 ratings at Coursera

Develop machine learning skills using Python, covering regression and classification techniques with hands-on practice in NumPy and scikit-learn for real-world AI applications.

• Coursera
• 1 day 9 hours 19 minutes
• Self-Paced
• Paid Course

Simons Institute

Introduction to Matrix Multiplication

Discover matrix multiplication's central role in computational complexity, from Strassen's algorithm to communication bounds and its connection to fundamental linear algebra problems.

• YouTube
• 56 minutes
• Self-Paced
• Free Video

Simons Institute

Proving Asymptotic Upper Bounds for Matrix Multiplication - Part 1

Discover the laser method's concepts and tools for proving upper bounds on matrix multiplication exponent, covering tensor rank, border rank, and asymptotic sum inequality techniques.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

Simons Institute

Proving Asymptotic Upper Bounds for Matrix Multiplication - Part 2

Dive into advanced techniques for proving upper bounds on matrix multiplication exponents using the laser method, covering tensor rank, border rank, and asymptotic sum inequality.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Institute for Advanced Study

Asymptotic Spectrum and Approximation Approaches to Direct-Sum Problems

Explore asymptotic spectrum duality and approximation methods for direct-sum problems in matrix multiplication and Shannon capacity, featuring recent advances in convergence approaches.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Video

Simons Institute

Matrix Data Structures

Explore efficient matrix data structures for fast algorithms, focusing on optimization techniques and their applications in computational mathematics.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

BIMSA

New Breakthrough in Matrix Multiplication

Discover groundbreaking advances in matrix multiplication algorithms and their computational implications in this cutting-edge mathematical research presentation.

• YouTube
• 51 minutes
• Self-Paced
• Free Video

BIMSA

Faster Matrix Multiplication via Asymmetric Hashing

Discover advanced asymmetric hashing techniques to accelerate matrix multiplication algorithms in this cutting-edge computational mathematics presentation.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Linear Algebra

8 ratings

This course covers matrix theory and linear algebra, emphasizing topics useful in other disciplines such as physics, economics and social sciences, natural sciences, and engineering.

• MIT OpenCourseWare
• 36 hours
• Self-Paced
• Free Video

Dr Trefor Bazett

Why the Complex Numbers Are Actually Just Special Matrices

Discover the fascinating connection between complex numbers and 2x2 matrices, revealing how they're mathematically equivalent through isomorphism and geometric transformations.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

Derek Banas

Linear Algebra Fundamentals - Vectors, Matrices, and Operations

Comprehensive introduction to linear algebra covering vectors, matrices, and their operations. Explores applications in various fields and problem-solving techniques for systems of equations.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Insights into Mathematics

Applications of 3x3 Matrices - Wild Linear Algebra A

Explore 3x3 matrices and their applications in 3D space, covering dilations, reflections, rotations, and projections. Learn key concepts and formulas for linear transformations in three dimensions.

• YouTube
• 54 minutes
• Self-Paced
• Free Video

Insights into Mathematics

Inverting 3x3 Matrices - Wild Linear Algebra A | NJ Wildberger

Comprehensive exploration of 3x3 matrix inversion, covering determinants, adjoints, and inverse properties. Includes theorem derivations, examples, and exercises for practical application.

• YouTube
• 46 minutes
• Self-Paced
• Free Video

Insights into Mathematics

More Applications of 2x2 Matrices - Wild Linear Algebra A

Explores advanced applications of 2x2 matrices in linear algebra, covering rotations, reflections, composition of transformations, and connections to calculus, with a focus on linear approximations and derivatives.

• YouTube
• 55 minutes
• Self-Paced
• Free Video