Courses in Math for Machine Learning often teach linear algebra, calculus, probability, and statistics, providing a solid foundation for understanding algorithms. You can build skills in optimization techniques, data analysis, and model evaluation, which are crucial for effective machine learning applications. Many courses introduce tools like Python libraries such as NumPy and TensorFlow, which help you implement mathematical concepts in AI projects and enhance your ability to work with data-driven models.

Skills you'll gain: NumPy, Jupyter, Applied Machine Learning, Tensorflow, Machine Learning Methods, Machine Learning, Machine Learning Software, Development Environment, Package and Software Management, Python Programming, Numerical Analysis, Linux, Environment
Mixed · Course · 1 - 4 Weeks

Amazon Web Services
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Amazon Web Services, Model Deployment, Machine Learning
★ 4.6 (141) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Large Language Modeling, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Supervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Deep Learning, Artificial Neural Networks, Statistical Machine Learning, MLOps (Machine Learning Operations), Data Manipulation, Machine Learning Algorithms, Data Wrangling, Model Optimization, Python Programming, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Pandas (Python Package)
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Supervised Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Model Deployment, Machine Learning Methods, Model Evaluation, Machine Learning, Classification Algorithms, Machine Learning Algorithms, Model Training, Model Optimization, Predictive Modeling, Decision Tree Learning, Python Programming, Artificial Neural Networks, Feature Engineering, Data Science, Web Services
Intermediate · Course · 1 - 3 Months

Dartmouth College
Skills you'll gain: Probability & Statistics, Statistical Methods
Intermediate · Course · 1 - 3 Months
University of London
Skills you'll gain: Model Training, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Artificial Intelligence, Statistical Machine Learning, Model Evaluation, Machine Learning Algorithms, AI literacy, Data Collection
★ 4.7 (3.5K) · Beginner · Course · 1 - 4 Weeks

Coursera
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, Feature Engineering, Dimensionality Reduction, Machine Learning, Predictive Modeling, Predictive Analytics, Forecasting, Anomaly Detection
★ 4.3 (20) · Intermediate · Course · 1 - 4 Weeks

Amazon Web Services
Skills you'll gain: Machine Learning, Technology Roadmaps, Organizational Strategy
★ 4.8 (17) · Beginner · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, Model Evaluation, Statistical Methods, Logistic Regression, Statistical Modeling, Python Programming, Machine Learning Methods, Machine Learning, Classification Algorithms, Regression Analysis, Statistical Analysis, Applied Machine Learning, Probability & Statistics, Statistical Hypothesis Testing
★ 5 (6) · Intermediate · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Regression Analysis, Calculus, Model Optimization, Artificial Neural Networks, Derivatives
★ 4.7 (5.8K) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Preprocessing, Unsupervised Learning, Model Evaluation, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Model Training, Feature Engineering, Artificial Intelligence, Deep Learning, Classification Algorithms, Model Optimization, Regression Analysis
★ 4.4 (31) · Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Machine Learning Methods, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Model Training, Machine Learning, Deep Learning, Model Optimization
★ 3.6 (18) · Intermediate · Specialization · 3 - 6 Months