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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


Chris Rackauckas
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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Frequently Asked Questions


When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

Get started now!