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
University of Minnesota
Skills you'll gain: Dimensionality Reduction, Linear Algebra, Machine Learning Methods, Mathematical Modeling, Data Manipulation, Algorithms, Python Programming
Howard University
Skills you'll gain: Linear Algebra, NumPy, Jupyter, Data Science, Data Modeling, Mathematical Modeling, Data Structures, Python Programming
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, Exploratory Data Analysis, Statistical Visualization
The University of Chicago
Skills you'll gain: Keras (Neural Network Library), Machine Learning Methods, Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Classification Algorithms, Regression Analysis, Random Forest Algorithm, Model Training, Dimensionality Reduction, Model Evaluation, Data Preprocessing, Tensorflow, Logistic Regression, Pandas (Python Package)
Birla Institute of Technology & Science, Pilani
Skills you'll gain: Supervised Learning, Applied Machine Learning, Feature Engineering, Machine Learning Methods, Machine Learning Algorithms, Statistical Machine Learning, Predictive Modeling, Model Training, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Regression Analysis, Bayesian Statistics, Logistic Regression, Classification Algorithms, Decision Tree Learning, Model Optimization, Data Preprocessing, Probability & Statistics
Johns Hopkins University
Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Geometry, Applied Mathematics, Algebra
Board Infinity
Skills you'll gain: Classification Algorithms, Java Programming, Data Preprocessing, Machine Learning Software, Model Training, Model Deployment, Model Evaluation, Decision Tree Learning, Logistic Regression
Imperial College London
Skills you'll gain: Regression Analysis, Calculus, Model Optimization, Artificial Neural Networks, Derivatives
DeepLearning.AI
Skills you'll gain: Applied Mathematics, Calculus, Machine Learning, Python Programming, Artificial Neural Networks, Computer Programming, Derivatives
Wesleyan University
Skills you'll gain: Decision Tree Learning, Predictive Modeling, Model Evaluation, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Machine Learning Methods, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Data Analysis, Exploratory Data Analysis, Regression Analysis, Python Programming
Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Data Visualization, Graphing, Scalability, Text Mining, Statistical Analysis, Time Series Analysis and Forecasting, Statistical Methods, Visualization (Computer Graphics), Debugging, Mathematical Software, File I/O, Numerical Analysis, Software Installation, Mathematical Modeling, Code Reusability, Python Programming, Data Analysis
Skills you'll gain: PySpark, Model Optimization, Model Training, Machine Learning
