MLCourse

This repository contains teaching material for an introductory machine learning course. You can find an interactive preview of the Pluto notebooks of this course here and you can run some notebooks on mybinder (some notebooks will crash on mybinder when they hit the memory limit).

Installation

To use the code, we recommend downloading Julia version 1.7.3 with juliaup.

Windows

1. Install juliaup

winget install julia -s msstore

2. Add Julia 1.7.3

juliaup add 1.7.3

3. Make 1.7.3 default

juliaup default 1.7.3

Mac

1. Install juliaup

curl -fsSL https://install.julialang.org | sh

You may need to run source ~/.bashrc or source ~/.bash_profile or source ~/.zshrc if juliaup is not found after installation.

Alternatively, if brew is available on the system you can install juliaup with

brew install juliaup

2. Add Julia 1.7.3

juliaup add 1.7.3

3. Make 1.7.3 default

juliaup default 1.7.3

Linux

1. Install juliaup

curl -fsSL https://install.julialang.org | sh

You may need to run source ~/.bashrc or source ~/.bash_profile or source ~/.zshrc if juliaup is not found after installation.

Alternatively, use the AUR if you are on Arch Linux or zypper if you are on openSUSE Tumbleweed.

2. Add Julia 1.7.3

juliaup add 1.7.3

3. Make 1.7.3 default

juliaup default 1.7.3

4. Installing MLCourse

Once you have finished the above steps 1.-3. for your operating system, launch julia and run the following code to install the course material.

julia> using Pkg
       Pkg.activate(temp = true)
       Pkg.develop(url = "https://github.com/jbrea/MLCourse")
       Pkg.activate(joinpath(Pkg.devdir(), "MLCourse"))
       Pkg.instantiate()
       using MLCourse
       MLCourse.start()

Many packages and binaries are downloaded in the Pkg.instantiate() step. If you encounter an error message like ERROR: Unable to automatically install 'sysimage' or ERROR: failed to clone from ... rerun Pkg.instantiate() a moment later.

Usage

Once MLCourse is installed, you can open the notebooks in a Julia REPL anytime with

julia> using Pkg; Pkg.activate(joinpath(Pkg.devdir(), "MLCourse"))
       using MLCourse
       MLCourse.start()

You can update the course material with

julia> using Pkg; Pkg.activate(joinpath(Pkg.devdir(), "MLCourse"))
       using MLCourse
       MLCourse.update()