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Machine Learning with MATLAB

Apply different types of machine learning models for clustering, classification, and regression in MATLAB®. Explore how different techniques can optimize your model performance.

Course modules

Getting Started

Get an overview of the course. Import and process data, explore data features, and train and evaluate a classification model.

Lessons:
  • Course Overview
  • Review - Machine Learning Onramp

Finding Natural Patterns in Data

Use unsupervised learning techniques to group observations based on a set of explanatory variables and discover natural patterns in a data set.

Lessons:
  • Course Example - Grouping Basketball Players
  • Low Dimensional Visualization
  • k-Means Clustering
  • Gaussian Mixture Models
  • Interpreting the Clusters
  • Hierarchical Clustering
  • Project - Clustering

Classification Methods

Use available classification methods to train data classification models. Make predictions and evaluate the accuracy of a predictive model.

Lessons:
  • Course Example - Classifying Fault Types
  • Nearest Neighbor Classification
  • Classification Trees
  • Naive Bayes Classification
  • Discriminant Analysis
  • Support Vector Machines
  • Classification with Neural Networks
  • Project - Classification Methods

Improving Predictive Models

Validate model performance. Optimize model properties. Reduce the dimensionality of a data set and simplify machine learning models.

Lessons:
  • Methods for Improving Predictive Models
  • Cross Validation
  • Reducing Predictors - Feature Transformation
  • Reducing Predictors - Feature Selection
  • Hyperparameter Optimization
  • Ensemble Learning
  • Project - Improving Predictive Models

Regression Methods

Use supervised learning techniques to perform predictive modeling for continuous response variables.

Lessons:
  • Course Example - Fuel Economy
  • Linear Models
  • Stepwise Fitting
  • Regularized Linear Models
  • SVMs, Trees and Neural Networks
  • Gaussian Process Regression
  • Project - Regression

Conclusion

Learn next steps and give feedback on the course.

Lessons:
  • Additional Resources
  • Survey

Format:Self-paced

Language:English

Language

  • Hands-on exercises with automated feedback
  • Access to MATLAB through your web browser
  • Shareable progress report and course certificate

Deep Learning with MATLAB

Learn the theory and practice of building deep neural networks with real-life image and sequence data.

Machine Learning Onramp

Learn the basics of practical machine learning methods for classification problems.