Linear Algebra for Machine Learning courses can help you learn matrix operations, vector spaces, eigenvalues, and linear transformations. You can build skills in solving systems of equations, dimensionality reduction, and understanding data representations. Many courses introduce tools like NumPy and MATLAB, that support implementing algorithms and performing computations efficiently in AI and machine learning projects.

Fractal Analytics
Skills you'll gain: Model Evaluation, Model Deployment, Applied Machine Learning, Machine Learning, Machine Learning Methods, Supervised Learning, Regression Analysis, Decision Tree Learning, Machine Learning Algorithms, Model Training, Feature Engineering, Data Preprocessing, Unsupervised Learning, Predictive Modeling, Model Optimization, Logistic Regression, Anomaly Detection, Classification Algorithms
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Geometry, Applied Mathematics, Algebra
Intermediate · Course · 1 - 4 Weeks

Corporate Finance Institute
Skills you'll gain: Regression Analysis, Correlation Analysis, Advanced Analytics, Statistical Methods, Statistical Modeling, Statistical Analysis, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Microsoft Excel, Statistical Programming, Data Analysis Software, Model Evaluation, Supervised Learning
Advanced · Course · 1 - 3 Months

University of Minnesota
Skills you'll gain: Dimensionality Reduction, Linear Algebra, Unsupervised Learning, Machine Learning Methods, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Applied Machine Learning, Data Manipulation, Algorithms, Python Programming
Intermediate · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Model Optimization, Machine Learning Methods, Applied Mathematics, Calculus, Applied Machine Learning, Numerical Analysis, Machine Learning Algorithms, Software Visualization, Machine Learning, Python Programming, Advanced Mathematics, Artificial Neural Networks, Deep Learning, Computer Programming, Derivatives
Intermediate · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Probability, Statistical Inference, Statistics, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Correlation Analysis, Histogram, Statistical Visualization, Box Plots
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Preprocessing, JUnit, Model Training, Build Tools, MLOps (Machine Learning Operations), Java, Performance Tuning, Decision Tree Learning, Classification And Regression Tree (CART), Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Object Oriented Programming (OOP), Apache, Machine Learning
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Supervised Learning, Model Evaluation, Classification Algorithms, Model Training, Machine Learning Methods, Applied Machine Learning, Matlab, Statistical Machine Learning, Regression Analysis, Model Optimization, Data Preprocessing, Predictive Modeling, Machine Learning, Feature Engineering, Data Validation
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Data Science, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Exploratory Data Analysis, Machine Learning, Data Analysis, Applied Machine Learning, Machine Learning Software, Feature Engineering, Random Forest Algorithm, Supervised Learning, Logistic Regression, Data Processing, Model Optimization, Data Manipulation, Data Visualization
Intermediate · Course · 1 - 4 Weeks

Alberta Machine Intelligence Institute
Skills you'll gain: Feature Engineering, Data Preprocessing, Model Evaluation, Data Quality, Model Training, Data Validation, Data Cleansing, Data Ethics, Data Transformation, Model Optimization, Verification And Validation, Applied Machine Learning, Machine Learning, Responsible AI, Machine Learning Algorithms, Algorithms, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Apache Spark, Large Language Modeling, Applied Machine Learning, Model Training
Intermediate · Course · 1 - 3 Months

Packt
Skills you'll gain: Model Evaluation, Classification Algorithms, R Programming, Apache Spark, Deep Learning, Applied Machine Learning, Data Wrangling, Keras (Neural Network Library), Unsupervised Learning, Model Training, Data Manipulation, Machine Learning Methods, Machine Learning Algorithms, R (Software), Data Science, Machine Learning, Tidyverse (R Package), Data Analysis, Bayesian Network, Logistic Regression
Intermediate · Course · 3 - 6 Months