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.

Johns Hopkins University
Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Applied Machine Learning, Markov Model
Mixed · Course · 1 - 3 Months

University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, Model Evaluation, Statistical Methods, Logistic Regression, Statistical Modeling, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Classification Algorithms, Regression Analysis, Statistical Analysis, Applied Machine Learning, Predictive Modeling, Probability & Statistics, Bayesian Statistics, Dimensionality Reduction, Statistical Hypothesis Testing, Model Optimization
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
Intermediate · Course · 1 - 3 Months

Board Infinity
Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Apache Mahout, AI Security, Applied Machine Learning, Classification Algorithms, CI/CD, Java, Java Programming, Machine Learning Software, Jenkins, Deep Learning, Machine Learning, Spring Boot, Natural Language Processing, Reinforcement Learning
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: Apache Spark, Machine Learning, Generative AI, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Predictive Modeling, Model Deployment, Classification Algorithms, Data Transformation, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

The University of Sydney
Skills you'll gain: Linear Algebra, Markov Model, Geometry, Arithmetic, Algebra, General Mathematics, Advanced Mathematics, Mathematics and Mathematical Modeling, Applied Mathematics
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Model Training, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Model Evaluation, Data Preprocessing, Feature Engineering, Model Optimization, Statistical Analysis, Statistical Methods, Classification Algorithms
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Sampling (Statistics), Data Mining, Statistical Hypothesis Testing, Probability, Statistical Machine Learning, Probability & Statistics, Linear Algebra, Statistical Methods, Statistical Analysis, Statistical Inference, Data Analysis, Probability Distribution, Data Science, Statistics, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning, Python Programming
Mixed · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Regression Analysis, Calculus, Model Optimization, Mathematical Software, Machine Learning Methods, Numerical Analysis, Applied Mathematics, Applied Machine Learning, Linear Algebra, Artificial Neural Networks, Deep Learning, Mathematical Theory & Analysis, Derivatives
Beginner · Course · 1 - 3 Months

University of California San Diego
Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Apache Spark, Classification Algorithms, Big Data, Model Training, Regression Analysis, Data Mining, Applied Machine Learning, Data Preprocessing, Machine Learning Methods, Statistical Analysis, Machine Learning Software, Machine Learning, Data Analysis, Unsupervised Learning, Machine Learning Algorithms, Data Wrangling, Descriptive Statistics, Data Transformation
Mixed · Course · 1 - 3 Months

University of Pittsburgh
Skills you'll gain: NumPy, Matplotlib, Plot (Graphics), Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Data Visualization, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Processing, Statistical Analysis, Mathematics and Mathematical Modeling, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning
Build toward a degree
Beginner · 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