Artificial Intelligence Data Analysis School for Heliophysicists
Invited Training Course organized by the EC Project Artificial Intelligence Data Analysis (AIDA)
CINECA, Bologna, Italy
2020-01-20 – 2020-01-22
[ EVENT ]
Materials
[ Lecture 1: Introduction and Differences between AI, ML, NN, and Big Data – Slides ~10.2 MB (pdf) ]
[ Lecture 2: Unsupervised Learning – Clustering – Slides ~7.08 MB (pdf) ]
[ Lecture 3: Unsupervised Learning – Computing – Slides ~10.2 MB (pdf) ]
[ Lecture 6: Deep Neural Networks and Convolutional Neural Networks – Overview – Slides ~12.6 MB (pdf) ]
[ Lecture 7: Deep Neural Networks and Convolutional Neural Networks – Examples – Slides ~13.4 MB (pdf) ]
[ Lecture 8: Reinforcement Learning – Short Introduction – Slides ~12.6 MB (pdf) ]
[ Lecture 9: Performance and Tuning of Machine Learning – Slides ~12.6 MB (pdf) ]
Social Media
Prof. @MorrisRiedel is giving the first introductory lecture to our @AIDA_H2020 Artificial Intelligence and Data Analysis School for Heliohycisists at @Cineca1969 #Bologna pic.twitter.com/y4GaWBpGI9
— Jorge Amaya (@murci3lag0) January 20, 2020
— AIDA H2020 (@AIDA_H2020) January 28, 2020
𝙎𝙡𝙞𝙙𝙚𝙨 𝙖𝙫𝙖𝙞𝙡𝙖𝙗𝙡𝙚: 9 Lectures on #MachineLearning #DeepLearning of #ArtificialIntelligence Data Analysis @AIDA_H2020 School for Heliophysicists using #HPC @DEEPprojects @fzj_jsc @fz_juelich @Haskoli_Islands @uisens @helmholtz_ai
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slides: https://t.co/xcNHfkaDrU
. pic.twitter.com/qvUHeOCoM3— Morris Riedel (@MorrisRiedel) February 3, 2020