Linear Algebra for Machine Learning Courses
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.
Popular Linear Algebra for Machine Learning Courses and Certifications
Status: Free TrialBirla Institute of Technology & Science, Pilani
Skills you'll gain: Linear Algebra, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Mathematics and Mathematical Modeling, Data Analysis, Machine Learning, Dimensionality Reduction, Model Optimization, Artificial Neural Networks
Status: Free TrialImperial College London
Skills you'll gain: Linear Algebra, Applied Mathematics, Jupyter, Data Science, Data Manipulation, Dimensionality Reduction, Mathematics and Mathematical Modeling, Data Transformation, Machine Learning
Status: Free TrialDeepLearning.AI
Skills you'll gain: Linear Algebra, Dimensionality Reduction, Mathematical Software, Machine Learning Methods, Data Transformation, Data Manipulation, Applied Mathematics, Machine Learning, Python Programming, Algebra, Image Analysis
Status: Free TrialImperial College London
Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Unsupervised Learning, Applied Mathematics, Statistical Methods, Descriptive Statistics, Model Optimization, Mathematical Software, Machine Learning Methods, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Geometry, Artificial Neural Networks, Data Science, Data Manipulation
Status: Free TrialJohns Hopkins University
Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Advanced Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Engineering Analysis, Mathematical Theory & Analysis, Geometry, Applied Machine Learning, Markov Model
Status: Free TrialDeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Linear Algebra, Statistical Inference, Model Optimization, Machine Learning Methods, Statistics, Applied Mathematics, Probability, Calculus, Dimensionality Reduction, Applied Machine Learning, Mathematical Software, Data Transformation, Machine Learning
What brings you to Coursera today?
Status: Free TrialSkills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Model Training, Random Forest Algorithm, Model Optimization, Predictive Modeling, Model Evaluation, Python Programming, Performance Tuning, Classification Algorithms
Status: Free TrialHoward University
Skills you'll gain: Linear Algebra, Data Visualization, Applied Mathematics, Scientific Visualization, NumPy, Mathematical Software, Algebra, Jupyter, Mathematics and Mathematical Modeling, Mathematical Modeling, Computer Programming Tools, Data Science, General Mathematics, Python Programming, Software Installation, Data Manipulation, Git (Version Control System)
Status: PreviewUniversitat Politècnica de València
Skills you'll gain: Linear Algebra, Algebra, Geometry, General Mathematics, Applied Mathematics
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
Status: PreviewSkills you'll gain: Model Evaluation, Predictive Modeling, Model Training, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning
Status: Free TrialCoursera
Skills you'll gain: Model Evaluation, Supervised Learning, Unsupervised Learning, Data Preprocessing, Time Series Analysis and Forecasting, Applied Machine Learning, Model Training, Machine Learning Methods, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Machine Learning Software, Dimensionality Reduction, Machine Learning, Predictive Modeling, Data Wrangling, Predictive Analytics, Forecasting, Data Processing, Anomaly Detection
In summary, here are 10 of our most popular linear algebra for machine learning courses
- Linear Algebra for Machine Learning & AI: Birla Institute of Technology & Science, Pilani
- Mathematics for Machine Learning: Linear Algebra: Imperial College London
- Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
- Mathematics for Machine Learning: Imperial College London
- Linear Algebra from Elementary to Advanced: Johns Hopkins University
- Mathematics for Machine Learning and Data Science: DeepLearning.AI
- The Nuts and Bolts of Machine Learning: Google
- Introduction to Linear Algebra and Python: Howard University
- Basic Math: Algebra: Universitat Politècnica de València
- Introduction to Linear Algebra: The University of Sydney
