CPD 177- Introduction to Machine Learning with tidymodels Presented by Max Kuhn

The Statistical Computing and Data Visualisation Section is now offering tutorials.

 Introduction to Machine Learning with tidymodels Presented by 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.

Cancellation Policy

Occasionally courses have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen.

Cancellations received prior to two weeks before the event will be refunded, minus a $25 administration fee. From then onward no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to events@statsoc.org.au.

For any questions, please email events@statsoc.org.au