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.

Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Model Training, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Machine Learning Algorithms, Data Pipelines, Data Transformation
Intermediate · Course · 1 - 4 Weeks

National Taiwan University
Skills you'll gain: Supervised Learning, Model Training, Machine Learning, Machine Learning Methods, Statistical Machine Learning, Model Evaluation, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Classification Algorithms, Mathematical Modeling, Statistical Methods, Probability & Statistics, Algorithms, Statistical Inference
Beginner · Course · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Convolutional Neural Networks, Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Classification Algorithms, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Model Training, Transfer Learning, Databricks, Machine Learning
Intermediate · Course · 1 - 4 Weeks

Packt
Skills you'll gain: Model Evaluation, Classification Algorithms, R Programming, Apache Spark, Deep Learning, Applied Machine Learning, Data Wrangling, Keras (Neural Network Library), Unsupervised Learning, Model Training, Data Manipulation, Machine Learning Methods, Machine Learning Algorithms, R (Software), Data Science, Machine Learning, Tidyverse (R Package), Data Analysis, Bayesian Network, Logistic Regression
Intermediate · Course · 3 - 6 Months

New York Institute of Finance
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Machine Learning, Securities Trading, Statistical Machine Learning, Model Training, Market Trend, Data Preprocessing, Deep Learning, Python Programming, Model Evaluation, Correlation Analysis, Artificial Neural Networks, Time Series Analysis and Forecasting
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Machine Learning Methods, Healthcare Ethics, Health Informatics, Machine Learning, Deep Learning, Statistical Machine Learning, Model Training, Convolutional Neural Networks, Data Preprocessing, Predictive Modeling, Electronic Medical Record System, AI Personalization, Machine Learning Algorithms, Recurrent Neural Networks (RNNs), Model Evaluation, Decision Intelligence, Data Analysis
Intermediate · Course · 1 - 4 Weeks

New York University
Skills you'll gain: Supervised Learning, Machine Learning Methods, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Machine Learning, Machine Learning Software, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Market Data, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Skills you'll gain: Model Evaluation, Machine Learning Algorithms, Model Optimization, Scikit Learn (Machine Learning Library), Model Training, Unsupervised Learning, Text Mining, Time Series Analysis and Forecasting, Pandas (Python Package), Classification Algorithms, Machine Learning, Applied Machine Learning, Supervised Learning, Predictive Modeling, Unstructured Data, Feature Engineering, Jupyter, Regression Analysis, Data Preprocessing, Python Programming
Build toward a degree
Intermediate · Course · 1 - 3 Months

Amazon Web Services
Skills you'll gain: Machine Learning Methods, Decision Intelligence, Applied Machine Learning, Machine Learning, AI Enablement, Technology Roadmaps, Data-Driven Decision-Making, Artificial Intelligence and Machine Learning (AI/ML), Business Solutions, Organizational Strategy, AI Product Strategy, Organizational Change, Product Roadmaps, Feasibility Studies, System Requirements, Business Planning, Project Planning
Beginner · Course · 1 - 4 Weeks

Arizona State University
Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Generative AI, Model Training, Deep Learning, Image Analysis, Machine Learning Methods, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Generative Model Architectures, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Computer Programming, Regression Analysis
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Preprocessing, Model Training, Reinforcement Learning, Model Optimization, Deep Learning, Large Language Modeling, PyTorch (Machine Learning Library), Python Programming, Applied Machine Learning, Image Analysis, Machine Learning Methods, Transfer Learning, Natural Language Processing, Tensorflow, Computer Vision, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Convolutional Neural Networks
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Plot (Graphics), Scientific Visualization, Text Mining, Statistical Analysis, Statistical Methods, Data Visualization, Visualization (Computer Graphics), Descriptive Statistics, Unstructured Data, Data Analysis, Statistical Software, Computer Programming, Mathematical Software, Data Transformation, Data Preprocessing, Data Manipulation, Analytics, Data Processing, Machine Learning, Operations
Mixed · Course · 1 - 4 Weeks