06b Machine Learning Course: Overfit HD

Lecture with an illustrative subsurface example for model fit, overfit, and model generalization. Follow along with the demonstration workflows in Python: 1. Overfit Demonstration with trend modeling: https://github.com/GeostatsGuy/PythonNumericalDemos/blob/master/GeostatsPy_overfit.ipynb 2. Interactive machine learning model over fit demonstration: https://github.com/GeostatsGuy/PythonNumericalDemos/blob/master/Interactive_Overfit.ipynb Subsurface Machine Learning, is an undergraduate / graduate course that I teach once a year at The University of Texas at Austin. We build from fundamental spatial / subsurface, geoscience / engineering modeling, probability, statistics, feature engineering and selection, inferential and predictive machine learning. From linear regression to generative adversarial networks, I provide accessible content to help you face the digital revolution! Learn more me and my research program at The University of Texas at Austin at www.michaelpyrcz.com. I hope you find this course content useful, Michael Pyrcz Associate Professor Cockrell School of Engineering Jackson School of Geosciences The University of Texas at Austin