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JuliaAcademy

Foundations of Machine Learning

via JuliaAcademy

Overview

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.

Syllabus

  1. Motivation
  2. Representing Data with Models
  3. Building Models
  4. Model Complexity
  5. What is Learning?
  6. What are Neurons?
  7. Flux.jl, the Elegant Julia Machine Learning Library

Taught by

Dr. Chris Rackauckas

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