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 TrialHoward University
Skills you'll gain: Regression Analysis, Predictive Modeling, Statistical Modeling, Applied Mathematics, Machine Learning Methods, Linear Algebra, Model Evaluation, Statistical Analysis, Data Manipulation
Status: Free TrialJohns Hopkins University
Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Numerical Analysis, Geometry, Applied Mathematics, Algebra, Mathematical Modeling
Status: PreviewNortheastern University
Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Probability, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Dimensionality Reduction, Algebra
Status: PreviewNortheastern University
Skills you'll gain: Model Evaluation, Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Machine Learning Software, Statistical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Classification Algorithms, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving
Status: Free TrialCorporate Finance Institute
Skills you'll gain: Regression Analysis, Statistical Modeling, Statistical Analysis, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Microsoft Excel, Linear Algebra, Model Evaluation, Supervised Learning, Exploratory Data Analysis
Status: NewStatus: PreviewSimplilearn
Skills you'll gain: Predictive Analytics, Regression Analysis, Predictive Modeling, Machine Learning, Supervised Learning, Forecasting, Case Studies, Business Analytics, Statistical Modeling
Status: Free TrialAlberta Machine Intelligence Institute
Skills you'll gain: Feature Engineering, Data Preprocessing, Model Evaluation, Data Quality, Supervised Learning, Data Validation, Data Cleansing, Data Ethics, Applied Machine Learning, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Python Programming, Computer Programming, Linear Algebra, Statistical Analysis
Skills you'll gain: Calculus, Applied Mathematics, NumPy, Machine Learning Algorithms, Data Science, Tensorflow, Python Programming, Derivatives, Algorithms, Development Environment
Status: Free TrialJohns Hopkins University
Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistical Inference
Status: PreviewNortheastern University
Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction
Status: Free TrialIllinois Tech
Skills you'll gain: Statistical Inference, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, R (Software), Data Science, Logistic Regression, Data Analysis, Probability & Statistics, Linear Algebra
Status: PreviewMaven Analytics
Skills you'll gain: Unsupervised Learning, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Applied Machine Learning, Time Series Analysis and Forecasting, Data Analysis, Classification Algorithms, Statistical Analysis, Data Science, Data Preprocessing, Data Mining, Machine Learning, Predictive Modeling, Machine Learning Algorithms, Customer Analysis, Supervised Learning, Histogram, Data Quality, Business Intelligence
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In summary, here are 10 of our most popular linear algebra for machine learning courses
- Building Regression Models with Linear Algebra: Howard University
- Linear Algebra: Orthogonality and Diagonalization: Johns Hopkins University
- Foundations of Statistical Learning & Algorithms: Northeastern University
- Machine Learning for Engineers: Algorithms and Applications: Northeastern University
- Regression Analysis - Fundamentals & Practical Applications: Corporate Finance Institute
- Introduction to Linear Regression Training : Simplilearn
- Data for Machine Learning: Alberta Machine Intelligence Institute
- Matrix Calculus for Data Science & Machine Learning: Packt
- Advanced Linear Models for Data Science 2: Statistical Linear Models: Johns Hopkins University
- Statistical Learning for Engineering Part 1: Northeastern University
