This course covers the foundations of machine learning, including topics such as representing data with models, building models, model complexity, understanding learning, and neurons. Students will also learn to use Flux.jl, an elegant Julia machine learning library. The course aims to teach students the fundamental concepts and tools of machine learning through a hands-on approach. It is designed for individuals interested in gaining a solid understanding of the basics of machine learning.
Overview
Syllabus
- Motivation
- Representing Data with Models
- Building Models
- Model Complexity
- What is Learning?
- What are Neurons?
- Flux.jl, the Elegant Julia Machine Learning Library
Taught by
Dr. Chris Rackauckas