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

N/A

None, Jupyter notebook for tutorials

Language: Julia

  • 10 steps/pages

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

N/A

None, Jupyter notebook for tutorials

Language: Julia

N/A

None, Jupyter notebook for tutorials

Language: Julia

~ 3.5 hrs

None

Language: Julia

Resources

Last updated