Matrices Courses and Certifications

Free Intro to Mistral AI Tutorial: Learn to build intelligent apps in this course by Mistral AI and Scrimba

1 rating

Learn how to use the Mistral AI to build intelligent apps, all the way from simple chat completions to advanced use-cases like RAG and function c

• Scrimba
• 1 hour 24 minutes
• Self-Paced
• Free Online Course

Career Certificate

C++ Programming for Beginners

465 ratings at CodeSignal

Master C++ programming fundamentals through hands-on practice with data structures, object-oriented concepts, debugging techniques, and essential syntax for building robust, maintainable software applications.

• CodeSignal
• 11 hours
• Self-Paced
• Free Certificate
• 7 courses

Introduction to GIS Mapping

2325 ratings at Coursera

Learn to create and analyze digital maps using GIS software. Explore data representation, coordinate systems, and map projections. Gain practical skills for various applications in spatial analysis.

• Coursera
• 14 hours 17 minutes
• Self-Paced
• Paid Course

The Julia Programming Language

Structure and Matrices in Julia Programming - Lecture 3

Explore matrices, sparse structures, and SVD for image compression and computational thinking in Julia, with practical applications in machine learning and linear algebra.

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

Simons Institute

Unbiased Estimation of the Spectral Properties of Large Implicit Matrices

Explore techniques for estimating spectral properties of large implicit matrices, focusing on unbiased methods and their applications in machine learning and computational challenges.

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

Insights into Mathematics

Integral Vectors and Matrices via Vexels and Maxels II - Data Structures Math Foundations

Explores integral vectors and matrices using vexels and maxels, extending the concept to cover the entire plane and its implications for linear algebra and analysis.

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

CppCon

Taking Static Type-Safety to the Next Level: Physical Units for Matrices

Explore advanced C++ techniques for enhancing type safety in linear algebra libraries, focusing on physical unit annotations for matrices and vectors. Learn efficient implementation strategies and their applications.

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

CppNow

C++ Compile-Time Sparse Matrices for Linear Algebra and Tracking Applications

Explore compile-time sparse matrices in C++ for efficient linear algebra and tracking applications, optimizing memory usage and performance through advanced type system techniques.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Conference Talk

Insights into Mathematics

Maxel Theory - New Thinking About Matrices - Data Structures Math Foundations 168

Exploring maxel theory and its impact on linear algebra, focusing on pixel geometry and matrix multiplication for new insights into matrix algebra.

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

Insights into Mathematics

The Chromatic Algebra of 2x2 Matrices - Part 2

Explores chromatic algebra of 2x2 matrices, focusing on subalgebras, complexions, dot products, and the four-dimensional Dihedrons algebra. Compares to quaternions and highlights unique properties.

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

Insights into Mathematics

The Chromatic Algebra of 2x2 Matrices - Wild Linear Algebra B41

Explore chromatic algebra in 2x2 matrices, covering subalgebras, complexions, trace, determinant, and characteristic polynomials. Introduces unique dot products on 2x2 matrices.

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

TabletClass Math

Matrix Multiplication - How to Multiply Matrices and Not Make Mistakes

Master matrix multiplication techniques and avoid common errors in this concise tutorial that walks through the process step-by-step.

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

Mathematics for Engineers: The Capstone Course

9 ratings

Capstone project applying computational fluid dynamics to calculate fluid flow around a cylinder. Includes MATLAB programming assignments and requires prior knowledge in advanced mathematics.

• Coursera
• 9 hours 47 minutes
• Self-Paced
• Paid Course

Mathematics for Machine Learning: PCA

3186 ratings at Coursera

Explore mathematical foundations of Principal Component Analysis (PCA) for dimensionality reduction. Learn statistics, inner products, orthogonal projections, and derive PCA from a geometric perspective.

• Coursera
• 20 hours 39 minutes
• Self-Paced
• Paid Course

Career Certificate

Mathematical Foundations for Deep Learning

193 ratings at CodeSignal

Master essential mathematical concepts - linear algebra, calculus, optimization, and statistics - to build a solid foundation for understanding and implementing deep learning algorithms effectively.

• CodeSignal
• 14 hours
• Self-Paced
• Free Certificate
• 5 courses