PRACE Tutorial: Parallel and Scalable Machine Learning – Introduction

Invited Tutorial
PRACE Advanced Training Center, Juelich Supercomputing Centre, Germany
2020-02-17 – 2020-02-19
[ EVENT ]


Parallel and Scalable Machine Learning Introduction Morris Riedel


Lecture 1 – Parallel and Scalable Machine Learning driven by HPC (pdf, ~14,3 MB)


Lecture 2 – Introduction to Machine Learning Fundamentals (pdf, ~5,58 MB)


Lecture 3 – Supervised Learning with a Simple Learning Model (pdf, ~8,05 MB)


Lecture 4 – Artificial Neural Networks – ANNs (pdf, ~2,73 MB) [Gabriele Cavallaro]


Lecture 5 – Introduction to Statistical Learning Theory (pdf, ~2,73 MB)


Lecture 6 – Validation and Regularization (pdf, ~5,97 MB)


Lecture 7 – Pattern Recognition Systems (pdf, ~2,92 MB) [Gabriele Cavallaro]


Lecture 8 – Parallel and Distributed Training of ANN (pdf, ~0,78 MB) [Gabriele Cavallaro]


Lecture 9 – Supervised Learning with Deep Learning (pdf, ~15,90 MB)


Lecture 10 – Unsupervised Learning – Clustering (pdf, ~1,19 MB) [Gabriele Cavallaro]


Lecture 11 – Clustering with HPC (pdf, ~2,86 MB) [Gabriele Cavallaro]


Lecture 12 – Introduction to Deep Reinforcement Learning (pdf, ~7,80 MB) [Jenia Jitsev]


PRACE Tutorial Parallel and Scalable Machine Learning Course Group Photo