Matrix Decompositions Courses and Certifications

Center for Language & Speech Processing(CLSP), JHU

CUR Matrix Decompositions for Improved Data Analysis

Discover CUR matrix decomposition techniques for enhanced data analysis and dimensionality reduction in large-scale datasets.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video

Basic Linear Algebra with SciPy

Master SciPy's linear algebra capabilities for solving equations, understanding eigenvalues, matrix decomposition, and working with sparse matrices in Python.

• CodeSignal
• 1 hour
• On-Demand
• Free Certificate

Master MATLAB through Guided Problem Solving

4318 ratings at Udemy

Become an expert in MATLAB Programming and Scientific Computing. Advance your career in Engineering Physics Biology etc

• Udemy
• 1 day 13 hours 58 minutes
• On-Demand
• Paid Course

Linear Algebra for AI - Generative AI - Agentic AI

428 ratings at Udemy

Master Linear Algebra: Essential Math for AI , Data Science, Machine Learning, Deep Learning Applications , Agentic AI

• Udemy
• 1 day 4 hours 5 minutes
• On-Demand
• Paid Course

Integral Calculus and Numerical Analysis for Data Science

109 ratings at Coursera

Intuitive approach to integral calculus and numerical analysis, covering integration, root-finding, matrix decomposition, and partial derivatives for data science applications.

• Coursera
• 3 hours 32 minutes
• On-Demand
• Paid Course

Beginner - Expert Linear Algebra, with Practice in Python.

55 ratings at Udemy

Master Linear Algebra, with clear and concise explanations, Practical Examples in various domains like Machine Learning.

• Udemy
• 19 hours 38 minutes
• On-Demand
• Paid Course

Foundations of Statistical Learning & Algorithms

Master fundamental mathematical concepts for machine learning through linear algebra, probability theory, and optimization techniques, focusing on practical applications and model evaluation methods.

• Coursera
• 21 hours 22 minutes
• On-Demand
• Paid Course

NumPy Essential Training: 2 MatPlotlib and Linear Algebra Capabilities

75 ratings at LinkedIn Learning

Learn the skills you need to create your NumPy analytical modules successfully and build professional analytical applications.

• LinkedIn Learning
• 1 hour 13 minutes
• On-Demand
• Free Trial Available

Land on Vector Spaces with Python

Explore linear algebra foundations using Python, focusing on matrices, eigenvalues, and applications in ecology, Markov Chains, and Google PageRank. Develop practical skills for data analysis and problem-solving.

• Independent
• 4 weeks, 8 hours a week
• On-Demand
• Free Online Course

矩阵分析（英文版）

introduce the key mathematical ideas in matrix theory, which are used in modern methods of matrix Lie groups, functional analysis, data analysis, scientific computing, optimization, and merely all quantitative fields of sci-ence and engineering.

• XuetangX
• On-Demand
• Free Online Course

Matrix Analysis

introduce the key mathematical ideas in matrix theory, which are used in modern methods of matrix Lie groups, functional analysis, data analysis, scientific computing, optimization, and merely all quantitative fields of sci-ence and engineering.

• XuetangX
• On-Demand
• Free Online Course

Joint Mathematics Meetings

Tensor Decomposition - A Mathematical Tool for Data Analysis

Explore tensor decomposition as a powerful mathematical tool for analyzing complex data structures, with applications in neuroscience, gas detection, and communication patterns.

• YouTube
• 47 minutes
• On-Demand
• Conference Talk

MITCBMM

Dimensionality Reduction for Matrix- and Tensor-Coded Data

Explore matrix and tensor factorizations for data compression, including PCA, NMF, and CP tensor decomposition. Learn theoretical foundations and practical applications in scientific domains.

• YouTube
• 54 minutes
• On-Demand
• Free Video

Gautam Varde

Diagonalization of a Matrix - Numerical Examples in Linear Algebra

Learn to diagonalize matrices through clear examples, enhancing your understanding of linear algebra and its applications in various mathematical and scientific fields.

• YouTube
• 11 minutes
• On-Demand
• Free Video

CppCon

Guide to Linear Algebra With the Eigen C++ Library

Explore the Eigen C++ library for linear algebra, covering setup, matrix decompositions, STL algorithm compatibility, and integration with C++23/26 features for scientific programming applications.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video