Mathematics for machine learning courses can help you learn linear algebra, calculus, probability, and statistics. You can build skills in optimization techniques, data analysis, and algorithm development. Many courses introduce tools like Python libraries such as NumPy and SciPy, that support implementing mathematical concepts in AI applications. You'll also explore key topics like regression analysis, dimensionality reduction, and neural networks, all of which are crucial for developing effective machine learning models.

Skills you'll gain: Regression Analysis, Predictive Modeling, Exploratory Data Analysis, Model Evaluation, Model Training, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Methods, Statistical Methods, Applied Machine Learning, Machine Learning, Data Preprocessing, Decision Tree Learning, Deep Learning, Data Analysis, Test Data, Artificial Neural Networks, Data Import/Export, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Data-Driven Decision-Making, Profit and Loss (P&L) Management, Risk Modeling, Financial Statement Analysis, Financial Systems, Operational Analysis, Risk Analysis, Statistical Machine Learning, Financial Regulation, Regulatory Compliance, Benchmarking
Beginner · Course · 1 - 4 Weeks

EDHEC Business School
Skills you'll gain: Text Mining, Applied Machine Learning, Network Analysis, Data Visualization Software, Machine Learning Methods, Statistical Machine Learning, Financial Statement Analysis, Financial Data, Market Data, Unstructured Data, Predictive Modeling, Web Scraping, Social Network Analysis, Advanced Analytics, Financial Statements, Financial Market, Financial Analysis, Corporate Finance, Investments, Data Mining
Intermediate · Course · 1 - 4 Weeks

Hebrew University of Jerusalem
Skills you'll gain: Advanced Mathematics, Trigonometry, Mathematical Theory & Analysis, Geometry, Integral Calculus, Calculus, Mathematics Education, Graphing, Mathematics and Mathematical Modeling, Algebra, Applied Mathematics, Logical Reasoning, Deductive Reasoning, Derivatives
Mixed · Course · 1 - 3 Months

Cleveland Clinic
Skills you'll gain: Machine Learning Methods, Machine Learning, Model Optimization, Machine Learning Algorithms, Healthcare Industry Knowledge, Health Informatics, Applied Machine Learning, Model Training, Health Care, Supervised Learning, Clinical Experience, Health Technology, Artificial Intelligence, Reinforcement Learning, Data-Driven Decision-Making, Data Science
Beginner · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Machine Learning Methods, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Regression Analysis, Supervised Learning, Data Science, Decision Tree Learning, Statistical Analysis, Classification Algorithms, Predictive Modeling, Artificial Neural Networks, Logistic Regression
Build toward a degree
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Analytics, Data Analysis, Google Cloud Platform, Applied Machine Learning, Model Training, MLOps (Machine Learning Operations), Machine Learning Methods, Model Deployment
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Training, Analytics, MLOps (Machine Learning Operations), Applied Machine Learning, Google Cloud Platform, Data Analysis, Model Deployment, Machine Learning Methods, Query Languages
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Machine Learning Methods, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning Software, Machine Learning, Data Validation, Data Wrangling, Machine Learning Algorithms, Data Integrity, Data Import/Export
Mixed · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Model Training, MLOps (Machine Learning Operations), Model Deployment, Workflow Management, Model Optimization, Business Workflow Analysis, Data Management, Google Cloud Platform, Data Governance, Data Lakes, Data Store, AI Workflows, Enterprise Modeling, Data Pipelines, Machine Learning Methods, Model Evaluation, Machine Learning, Applied Machine Learning, AI Orchestration
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Statistical Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Forecasting, Data Mining, Data Preprocessing, Model Optimization, Model Evaluation, Exploratory Data Analysis
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Model Training, Data Cleansing, Data Import/Export, Data Transformation, Apache Spark, Data-Driven Decision-Making, AI Enablement, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours