Introduction to Julia for Data Science Short course @ MIT

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For anyone interested on GitHub - pszufe/MIT_18.S097_Introduction-to-Julia-for-Data-Science: MIT_18.S097 you can find YouTube videos of all courses that we have taught. They cover eight topics:

  1. first steps with Julia.
  2. Working with tabular data.
  3. Basic predictive models (GLM.jl)
  4. Advanced predictive models (MLJ.jl, @ablaom - we have started teaching MLJ.jl finally :smile:)
  5. Optimization with JuMP.jl
  6. Analyzing graph data with Graphs.jl
  7. Deployment of Julia in production
  8. Introduction to parallel computing using Julia

I hope it will be useful.

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