Fall in love with Julia: Machine Learning with MLJ

UPDATE: Link to online event is live https://meet.ffmuc.net/julia-user-group-munich

We stay on Monday's - the first normal Monday every second month, 04. October, 06. December, ...

Hi all, this introductory series is for you:

• you do Data Science in R, Python, Matlab, Fortran, or whatever?
• you like it high-level and high-performant?

In this 1.5h introductory session we will look into MLJ.jl, the Julia go-to library for doing standard Machine Learning (ML) routines. Like MLR for R, or Scikit-Learn for Python. Build workflows, train, predict, select. With support for all standard supervised and unsupervised ML models like Random Forests, different Regressions, DBSCAN and many more.

As usual in this series, you will get a beginner-friendly hands-on experience using jupyter-notebook, with which you can try out the tools yourself and also experiment further afterwards. The material will be made available at the github repository https://github.com/schlichtanders/fall-in-love-with-julia

Looking forward to see you all!
Spread the news and invite everyone you know to not miss this Julia 101!
It is going to be online, so everyone from everywhere is welcome.

yours,
Stephan Sahm

P.S.: The link to the online tool will be made available 10 min before the actual start. Please join 5 min ahead, the session is going to start on-time, 18:30.