Courses in Math for Machine Learning can help you learn linear algebra, calculus, probability, and statistics. You can build skills in data analysis, model evaluation, and algorithm optimization. Many courses introduce tools like Python libraries such as NumPy and SciPy, that support implementing mathematical concepts in AI and artificial intelligence projects. You'll also explore techniques like gradient descent and matrix factorization, which are crucial for developing effective machine learning models.

LearnQuest
Skills you'll gain: Image Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Wrangling, Model Evaluation, Data Preprocessing, Operations Research, Model Training, NumPy, Demand Planning, Feature Engineering, Supervised Learning, Supply Chain, Applied Machine Learning, Inventory Management, Trend Analysis, Data Visualization, Machine Learning, Data Science, Data Analysis
Intermediate · Specialization · 3 - 6 Months

MathWorks
Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Model Training, Matlab, Machine Learning Methods, Data Preprocessing, Machine Learning, Classification Algorithms, Machine Learning Algorithms
Beginner · Course · 1 - 4 Weeks
Sungkyunkwan University
Skills you'll gain: Data Processing, Data Preprocessing, Portfolio Management, Investment Management, Machine Learning Methods, Classification And Regression Tree (CART), Data Wrangling, Statistical Machine Learning, Investments, Machine Learning Algorithms, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Financial Modeling, Model Training, Predictive Modeling, Decision Tree Learning, Model Evaluation, Model Optimization
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Unsupervised Learning, Feature Engineering, Model Evaluation, Applied Machine Learning, Predictive Modeling, Supervised Learning, Clinical Informatics, Machine Learning, Machine Learning Methods, Model Training, Health Informatics, Machine Learning Algorithms, Data Preprocessing, Predictive Analytics, Decision Tree Learning, Time Series Analysis and Forecasting, Logistic Regression, Forecasting, Classification Algorithms, Dimensionality Reduction
Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Data Mining, Health Informatics, Acute Care, Hospital Medicine, Emerging Technologies, Health Technology, Analytics, Data Preprocessing, AI Integrations, Clinical Informatics, Machine Learning, Advanced Analytics, Machine Learning Algorithms, Health Care, Applied Machine Learning, Data Analysis, Correlation Analysis, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Business Process Improvement
Mixed · Course · 1 - 4 Weeks

Illinois Tech
Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Generative AI, Convolutional Neural Networks, Transfer Learning, Model Optimization, Image Analysis, Artificial Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Fine-tuning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Network Architecture, Computer Vision, Network Model, Natural Language Processing, Model Training
Build toward a degree
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Model Training, Machine Learning Methods, Feature Engineering, Supervised Learning, Machine Learning Software, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Random Forest Algorithm, Regression Analysis
Mixed · Course · 1 - 4 Weeks

MathWorks
Skills you'll gain: Reinforcement Learning, Agentic systems, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Control Systems
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Neural Networks, Decision Tree Learning, Model Training, Computer Vision, Logistic Regression, Supervised Learning, Machine Learning Algorithms, Natural Language Processing, Data Science, Predictive Analytics
Intermediate · Course · 1 - 3 Months

University of London
Skills you'll gain: Computational Logic, Algorithms, Arithmetic, Applied Mathematics, Advanced Mathematics, Mathematics and Mathematical Modeling, Deductive Reasoning, Mathematical Theory & Analysis, Trigonometry, Geometry, Statistics, General Mathematics, Graphing, Computer Science, Mathematical Modeling, Programming Principles, Business Mathematics, Business Logic, Algebra, Problem Solving
Build toward a degree
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Methods, Data Preprocessing, Statistical Inference, Statistical Hypothesis Testing, Data Processing, Applied Machine Learning, Data Access, Statistics, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Data Science, Data Wrangling, Machine Learning, Probability & Statistics, Data Import/Export, Data Transformation
Intermediate · Course · 1 - 3 Months

Pearson
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Processing, Model Training, Data Collection, Data Management, Cloud Deployment, Model Evaluation, Data Preprocessing, Automation, Data Pipelines, Feature Engineering, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks