Foundations of Machine Learning

Introductory machine learning course taught in Julia. Covers motivation for machine learning, representing data with models, building models and reasoning about model complexity, what learning means, neurons as building blocks of neural networks, and hands-on work with Flux.jl, the Julia machine learning library. Suited to newcomers to machine learning who are comfortable with basic programming.