Yale Center for Research Computing Hands-on Workshop: “Machine Learning with MATLAB”

The Yale Center for Research Computing presents a Hands-on Workshop.  

Machine Learning with MATLAB with Ramnarayan Krishnamurthy.  

Machine learning is a data analytics technique that teaches computers to do what comes naturally to humans and animals: learn from experience. Machine learning algorithms use computational methods to “learn” information directly from data without relying on a predetermined equation as a model. 

In this hands-on introductory workshop, you will learn how the basics of Machine Learning and how to apply it for a variety of different data types. MATLAB provides an environment to apply advanced techniques without requiring extensive coding nor experience in machine learning.

Highlights include:

• Learn the fundamentals of machine learning (supervised learning, feature extraction, and hyperparameter tuning)
• Explore pre-processing and powerful visualization techniques
• Build and evaluate machine learning models for classification and regression of various data formats (signals, images, text)
• Perform hyperparameter tuning and feature selection to optimize model performance
• Discuss interoperability with other platforms
• Learn how to deploy Machine Learning models

Register here.