to do for GD
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@@ -2,6 +2,14 @@ TITLE: Data Analysis and Machine Learning Lectures: Optimization and Gradient
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AUTHOR: Morten Hjorth-Jensen {copyright, 1999-present|CC BY-NC} at Department of Physics, University of Oslo & Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University
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DATE: today
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!split
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===== To do =====
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* make plot of SGD moves
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* idem for standard GD for simple minimization problem
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* more material on autograd with examples
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* develop an example for logistic regression (for example the breast cancer data)
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!split
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===== Optimization, the central part of any Machine Learning algortithm =====
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