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: Test Driven Development (TDD), Generative Model Architectures, Image Analysis, Computer Vision, Machine Learning Methods, Fine-tuning, AI powered creativity, Applied Machine Learning, Model Training, Deep Learning, Keras (Neural Network Library), Python Programming, Development Environment, Software Installation
Intermediate · Course · 1 - 3 Months

Board Infinity
Skills you'll gain: Financial Forecasting, Feature Engineering, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Forecasting, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Financial Data, Predictive Modeling, Financial Modeling, Advanced Analytics, Decision Intelligence, Generative AI, Risking, Time Series Analysis and Forecasting, Market Data, Regression Analysis, Data Preprocessing
Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Data Ethics, Responsible AI, Compliance Training, Regulatory Compliance, Model Training, Business Ethics, Compliance Management, Applied Machine Learning, Project Implementation, AI Product Strategy, Machine Learning Software, Business Solutions, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Machine Learning Methods, Ethical Standards And Conduct, Model Evaluation, AI literacy, Data-Driven Decision-Making
★ 4.4 (124) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Store, Databricks, Cloud Management, Cloud Computing, Applied Machine Learning, Model Deployment, Data Pipelines, Model Training, Data Preprocessing, Model Optimization, Responsible AI, Machine Learning, Model Evaluation, Information Privacy, Data Security
★ 3.7 (71) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Predictive Modeling, Data Preprocessing, Data Visualization, Plot (Graphics), Predictive Analytics, Statistical Visualization, Model Training, Model Evaluation, Machine Learning Software, Machine Learning Methods, Object Oriented Design, Data Wrangling, Game Design, Data Science, Data Import/Export, Development Environment
Intermediate · Course · 3 - 6 Months

Skills you'll gain: Model Evaluation, Tensorflow, Model Training, Supervised Learning, Model Optimization, Artificial Neural Networks, Regression Analysis, Applied Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, AI Workflows, Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Data Science, Python Programming
★ 4.4 (92) · Advanced · Course · 1 - 4 Weeks

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

Northeastern University
Skills you'll gain: Text Mining, Data Mining, Time Series Analysis and Forecasting, Classification Algorithms, Artificial Neural Networks, Trend Analysis, Unstructured Data, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Feature Engineering, Unsupervised Learning, Predictive Modeling, Forecasting, Deep Learning, Data Preprocessing
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Responsible AI, Applied Machine Learning, Data Ethics, Transfer Learning, Artificial Intelligence, Model Optimization, Federated Learning, Machine Learning Methods, Scalability, Machine Learning, Distributed Computing, Microsoft Azure, Information Privacy
★ 4.7 (46) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Scikit Learn (Machine Learning Library), Predictive Modeling, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Predictive Analytics, Python Programming, Classification Algorithms, Model Training, Machine Learning, Data Analysis
★ 4.8 (11) · Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Deployment, Generative AI, Data Wrangling, Project Planning, Responsible AI, Data Preprocessing, Model Training, Generative Model Architectures, Governance, Exploratory Data Analysis, Applied Machine Learning, Large Language Modeling, Data Presentation, Machine Learning Software, Prompt Engineering, Model Evaluation, Feature Engineering, Fine-tuning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Application Lifecycle Management, DevOps, Model Evaluation, Cloud Deployment, AI Workflows, Automation
Intermediate · Course · 1 - 4 Weeks