Tutorial 1: Mar 26, 9:00-12:30 AEDT (6:00pm to 9:30pm EST) Title: Introduction to Machine Learning with tidymodels Presenter: Max Kuhn This is for data scientists wanting to improve their modeling skills, and gain a better understanding of machine learning models.
About the presenter: Max Kuhn is a software engineer at Posit. He has been instrumental in improving the modeling capabilities in R. Max has a Ph.D. in Biostatistics and is the author of numerous R packages for techniques in machine learning. He has a background in the pharmaceutical industry. With Kjell Johnson, his book Applied Predictive Modeling, won the 2015 Ziegel award from the American Statistical Association, for the best book reviewed in Technometrics. He is the co-author of the book Tidy Modeling with R available at https://www.tmwr.org/.
Background: Participants should have a good working knowledge of R, and be familiar with basic data wrangling and visualisation as described in R for Data Science by Wickham and Grolemund (2016).
The tutorial will follow selected materials from https://www.tidymodels.org/ and https://www.tmwr.org/ and will be made available a few days prior to the tutorial.
To prepare, you’ll need to do a few package installs:
install.packages(c("Cubist", "splines2", "tidymodels", "rules"))At the time of this tutorial, we have been in the process of releasing a lot of packages. It’s alright if you have the previous versions though.