Deep Learning with Python

Deep Learning with Python

Deep Learning with Python Invited Talk Joint Laboratory for Extreme-Scale Computing (JLESC) 8th Workshop Barcelona Supercomputing Centre, Barcelona, Spain 2018-04-19 [ Event ] [ Slides ~6.53 MB (pdf) ]

Morris Riedel Talks

Talks – Overview

2018 Modular Supercomputing Design supporting Machine Learning Applications IEEE MIPRO Conference 2018 Opatija, Croatia 2018-05-24 [ More ] SIMDAS & Industry Relations – Examples from Juelich Invited Talk Simulation and Data Science Center of Excellence (SIMDAS) The Cyprus Institute, Nicosia, Cyprus 2018-05-03 [ More ] Deep Learning with Python Invited Talk Joint Laboratory for Extreme Scale Computing Barcelona Supercomputing Centre, Barcelona, Spain 2018-04-19 [ More ] Selected Comparisons between Machine Learning and Deep Learning in Earth Science Applications Invited Talk International Conference on: Terrestrial Systems Research: Monitoring, Prediction & High Performance Computing University of Bonn, Germany 2018-04-05 [ More ]...

2018-03-06-Parallel-and-Scalable-Machine-Learning-Tutorial-Content

DEEP-EST Tutorial: Parallel and Scalable Machine Learning

DEEP-EST Tutorial: Parallel and Scalable Machine Learning Tutorial under the umbrella of the DEEP-EST EU Project Juelich Supercomputing Centre, Germany 2018-03-06 – 2018-03-08 [ Event ] Abstract: The course offers basics of analyzing data with machine learning and data mining algorithms in order to understand foundations of learning from large quantities of data. This course is especially oriented towards beginners that have no previous knowledge of machine learning techniques. The course consists of general methods for data analysis in order to understand clustering, classification, and regression. This includes a thorough discussion of test datasets, training datasets, and validation datasets required...

2018 Tutorial Parallel and Scalable Machine Learning

Tutorial: Parallel and Scalable Machine Learning

Tutorial: Parallel and Scalable Machine Learning Invited Tutorial PRACE Advanced Training Center, Juelich Supercomputing Centre, Germany 2018-01-15 – 2018-01-17 [ Event ] Abstract: The course offers basics of analyzing data with machine learning and data mining algorithms in order to understand foundations of learning from large quantities of data. This course is especially oriented towards beginners that have no previous knowledge of machine learning techniques. The course consists of general methods for data analysis in order to understand clustering, classification, and regression. This includes a thorough discussion of test datasets, training datasets, and validation datasets required to learn from data...

2016 Tutorial Einfuehrung Maschinelles Lernen

Tutorial: Einfuehrung in Maschinelles Lernen zur Datenanalyse (2016)

TUTORIAL: Einführung in Maschinelles Lernen zur Datenanalyse Invited Tutorial (German language) Smart Data Innovation Conference, Karlsruhe Institute of Technology (KIT), Germany 2016-10-13 [ Event ] Abstract: Der Kurs vermittelt Grundlagen zur Analyse von Daten und ist an Kursbesucher gerichtet die keine Vorkenntnisse in diesem Bereich haben. Die Inhalte werden prinzipielle Techniken umfassen, um Methoden der Datenanalyse wie Clustering, Klassifikation oder Regression besser einzuordnen. Das beinhaltet auch ein Verständnis von Testdaten, Trainingsdaten und Validierungsdaten. Anhand von einfachen Beispielen werden weiterhin Probleme wie bspw. overfitting angesprochen sowie dessen Lösungsansätze Validierung und Regularisierung. Nach dem Kurs haben Teilnehmer das Verständnis wie man an...