Foundations of Machine Learning

We're excited to be your gateway into machine learning. ML is a rapidly growing field that's buzzing with opportunity.

Welcome to this hands-on course on machine learning and AI! Here we'll deconstruct buzz words like "neural nets" and "deep learning" while you use Julia to write your own ML programs to classify images.

Your Instructor


Dr. Chris Rackauckas
Dr. Chris Rackauckas

Dr. Chris Rackauckas is an mathematician and theoretical biologist and at MIT. His programming language of choice is Julia and he is the lead developer of the JuliaDiffEq organization dedicated to solving differential equations (and includes the package DifferentialEquations.jl). His research is in time stepping methods for solving stochastic differential equations (SDEs) and applications to stochastic partial differential equations (SPDEs) which model biological development.


Course Curriculum


  Motivation
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  Representing Data with Models
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  Building Models
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  Model Complexity
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  What is Learning?
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  What are Neurons?
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Get started now!