Topological Toughening of Graphene and other 2D Materials

“Topological Toughening of Graphene and other 2D Materials”, Symposium “Properties of 2D Materials including Electronic, Magnetic, Mechanical, Optical, and Thermal Properties”, AVS 64th International Symposium & Exhibition, Nov 1, 2017, Tampa, FL, USA (Presented by B. Ni)

This four-hour workshop will provide a gentle introduction to machine learning with R using the modern suite of predictive modeling packages called tidymodels. We will build, evaluate, compare, and tune predictive models. Along the way, we’ll learn about key concepts in machine learning including overfitting, the holdout method, the bias-variance trade-off, ensembling, cross-validation, and feature engineering. Learners will gain knowledge about good predictive modeling practices, as well as hands-on experience using tidymodels packages like parsnip, rsample, recipes, yardstick, tune, and workflows.