Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence (AI) based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. In this two part seminar you’ll learn the basic machine learning concepts: supervised and unsupervised learning, classification and regression algorithms. This is a two part seminar.

Prerequisites: Basic knowledge of general CS concepts such as data structures, linear algebra and design of algorithms is required.

Instructor: Sachin Joshi

Registration required: https://go.lehigh.edu/hpcseminars