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13:00
Introduction to pattern recognition algorithms and Machine Learning
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Ben Nachman
(Lawrence Berkeley National Lab. (US))
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13:45
Hands-on: 1D optimal classifier, e.g. a Gaussian process classifier, compared with a simple Neural Network
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Ben Nachman
(Lawrence Berkeley National Lab. (US))
Mats Joakim Robert Olsson
(University of Chicago (US))
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15:00
Advanced machine learning application in high energy physics
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Ben Nachman
(Lawrence Berkeley National Lab. (US))
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15:45
Keras deep learning images
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Mats Joakim Robert Olsson
(University of Chicago (US))
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16:35
Demo: Balancing a pole using "Reinforcement Learning"
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Mats Joakim Robert Olsson
(University of Chicago (US))
