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Statistics and Machine Learning

Introduction

Refer to Artificial Intelligence in Healthcare / Machine Learning Resources for general information about machine learning. This section provides instructions for getting started with some of the common statistics and machine learning Julia packages.

Getting Started

  • Start Julia REPL (Read/Evaluate/Print/Loop) by typing the following in Terminal or PowerShell:

$ julia

  • Go into REPL mode for Pkg, Julia’s built in package manager, by pressing ‘]’:

julia> ]
(@v1.4) pkg>

  • Update package repository in Pkg REPL

(@v1.4) pkg> update)

  • Add packages in Pkg REPL

(@v1.4) pkg> add CSV
(@v1.4) pkg> add DataFrames
(@v1.4) pkg> add Distributions
(@v1.4) pkg> add HypothesisTests

  • Get back to the Julia REPL and exit by pressing backspace or ^C

(@v1.4) pkg>
julia> using CSV
julia> using DataFrames
julia> using Distributions
julia> using HypothesisTests
julia> exit()

Machine Learning Resources

Resource
Relevant Pages
Time
Access Requirements
Notes

MLJ Home

About

N/A

None

Language: Julia

Data Science Tutorials

Getting Started with MLJ

N/A

None, Jupyter notebook for tutorials

Language: Julia

  • 10 steps/pages

  • Walk-through of process (choosing model; fit, predict, transform; tune; ensemble, etc.)

Introduction to Statistical Learning with MLJ

N/A

None, Jupyter notebook for tutorials

Language: Julia

End to end examples with MLJ

N/A

None, Jupyter notebook for tutorials

Language: Julia

JuliaCon 2020 (YouTube video)

Follow-along Tutorials

~ 3.5 hrs

None

Language: Julia

Resources

Last updated