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: Machine Learning Algorithms, Data Visualization, Dashboard, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Data Science, Python Programming, Pandas (Python Package)
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Modeling, Google Cloud Platform, Feature Engineering, Data Processing, Data Management, Data Storage Technologies, Data Security
Intermediate · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: Journalism, Research, Interviewing Skills, Vocabulary, Media and Communications, Grammar, Electronic Media, Digital Publishing, English Language, Storytelling, Editing, Trend Analysis, Ethical Standards And Conduct
Mixed · Course · 1 - 3 Months

Skills you'll gain: AWS SageMaker, Applied Machine Learning, Model Evaluation, Amazon Web Services, No-Code Development, Machine Learning, Supervised Learning, Cloud Platforms, Predictive Modeling, Amazon S3, Version Control, Data Preprocessing, Model Deployment
Beginner · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Database Design, Data Processing, Web Scraping, Data Visualization, Relational Databases, Restful API, Web Services, SQL, Databases, Data Visualization Software, JSON, Interactive Data Visualization, Extensible Markup Language (XML), Data Structures, Programming Principles, Data Cleansing, Network Protocols, Data Analysis, Python Programming, Computer Programming
Build toward a degree
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Generative AI, Google Gemini, Google Cloud Platform, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, MLOps (Machine Learning Operations), Tensorflow, Applied Machine Learning, Model Deployment, Machine Learning, Model Evaluation
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Model Evaluation, Deep Learning, Statistical Analysis, Clinical Trials, Data Preprocessing, Risk Modeling, Treatment Planning, Data Analysis, Convolutional Neural Networks, Decision Tree Learning, Predictive Modeling, Feature Engineering, Patient Treatment, Image Analysis, Applied Machine Learning, AI Personalization, Diagnostic Radiology, Machine Learning, Random Forest Algorithm, Forecasting
Intermediate · Specialization · 1 - 3 Months

The Hong Kong University of Science and Technology
Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Mathematical Modeling, Simulation and Simulation Software, Computational Thinking, Estimation, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms
Intermediate · Course · 1 - 3 Months

Rice University
Skills you'll gain: Resourcefulness, Cognitive flexibility, Adaptability
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Continuous Deployment, R Programming, Dashboard, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Docker (Software), Application Programming Interface (API)
Intermediate · Guided Project · Less Than 2 Hours

University of Illinois Urbana-Champaign
Skills you'll gain: Deep Learning, Convolutional Neural Networks, Autoencoders, Recurrent Neural Networks (RNNs), Image Analysis, Embeddings, Model Deployment, Applied Machine Learning, Artificial Neural Networks, Predictive Modeling, Health Informatics, Unsupervised Learning, Model Evaluation, Medical Imaging, Python Programming, Dimensionality Reduction
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Tensorflow, Model Deployment, AI Workflows, Artificial Intelligence, Applied Machine Learning, Machine Learning, Model Evaluation, Feature Engineering, Natural Language Processing, Supervised Learning
Beginner · Course · 1 - 3 Months