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.

Coursera
Skills you'll gain: Responsible AI, Microsoft Copilot, Generative AI, Training and Development, ChatGPT, Education Software and Technology, Training Programs, AI literacy, Developing Training Materials, AI Integrations, Innovation, Case Studies, Automation, Design Strategies, Program Evaluation
Intermediate · Course · 1 - 4 Weeks

MathWorks
Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Model Training, Matlab, Machine Learning Methods, Data Preprocessing, Machine Learning, Classification Algorithms, Supervised Learning, Machine Learning Algorithms
Beginner · 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
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

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

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

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

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

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

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

Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Applied Machine Learning, Data Preprocessing, Text Mining, Machine Learning, Big Data, Model Evaluation, Performance Metric
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Applied Machine Learning, Predictive Modeling, Data Presentation, Machine Learning, Collaborative Software, Data Analysis, Predictive Analytics, Technical Communication, Machine Learning Algorithms, Statistical Analysis, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Descriptive Statistics, Regression Analysis, Python Programming, Text Mining, Artificial Neural Networks
Advanced · Course · 1 - 3 Months