PRACE Tutorial: Parallel and Scalable Machine Learning
Invited Tutorial
PRACE Advanced Training Center, Juelich Supercomputing Centre, Germany
2019-02-25 – 2019-02-27
[ EVENT ]
Lecture 1 – Parallel and Scalable Machine Learning driven by HPC (pdf, ~9,97 MB)
Lecture 2 – Introduction to Machine Learning Fundamentals – Theory (pdf, ~12,9 MB)
Lecture 3 – Introduction to Machine Learning Fundamentals – Practice (Jupyter Notebooks – request resources contacting m.riedel@morrisriedel.de)
[Martin Schultz] Lecture 4 – Feed Forward Neural Networks (Jupyter Notebooks – request resources contacting m.riedel@morrisriedel.de)
[Martin Schultz] Lecture 5 – Feed Forward Neural Networks (Jupyter Notebooks – request resources contacting m.riedel@morrisriedel.de)
Lecture 6 – Validation and Regularization – Theory (pdf, ~6,56 MB)
Lecture 7 – Regularization and Validation – Practice (Jupyter Notebooks – request resources contacting m.riedel@morrisriedel.de)
Lecture 10 – Theory of Generalization (pdf, ~4,00 MB)
[Gabriele Cavallaro] Lecture 11 – Unsupervised Clustering and Applications – Theory (pdf, ~2,62 MB)
[Jenia Jitsev] Lecture 13 – Deep Learning Introduction (pdf, ~31,6 MB)
Social Media
Full room & great dinner as part of our parallel & scalable #MachineLearning course – day one using Jupyter Notebooks @ProjectJupyter with HPC at @fzj_jsc @fz_juelich organized for @PRACE_RI by @DEEPprojects @Haskoli_Islands @uni_iceland @uisens – slides: https://t.co/NM29spbtaV pic.twitter.com/32aNwgTWHl
— Morris Riedel (@MorrisRiedel) February 26, 2019
Day 2 of our parallel & scalable #MachineLearning course @fzj_jsc @fz_juelich performed for @PRACE_RI by @DEEPprojects @Haskoli_Islands @uni_iceland @uisens talking about validation & regularization alongside #remotesensing expert Dr. G. Cavallaro; slides: https://t.co/NM29spbtaV pic.twitter.com/gVcfNbQwMU
— Morris Riedel (@MorrisRiedel) February 27, 2019
Thanks to all participants of our parallel & scalable #MachineLearning course by @fzj_jsc @fz_juelich @PRACE_RI @DEEPprojects @Haskoli_Islands @uni_iceland @uisens talking about theory of generalization alongside #deeplearning expert Dr. J.Jitsev; slides: https://t.co/NM29spbtaV pic.twitter.com/ZtKiKRbz97
— Morris Riedel (@MorrisRiedel) February 28, 2019