Level Up Your Machine Learning Skills !
American Statistical Association β Austin Chapter is excited to host an upcoming ASA Traveling Course:
π Tree-Based Machine Learning Methods
Prediction, Inference & Variable Selection with the randomForestSRC Ecosystem
π
Half-Day | 4 Hours
π» Virtual Only
Looking to strengthen your practical understanding of tree-based machine learning? This hands-on workshop is designed for applied statisticians and data scientists and will provide a code-centered introduction using R.
Topics include:
πΉ Regression, classification & survival
πΉ Random forest ensembles
πΉ Out-of-bag inference & test-data prediction
πΉ Variable selection using permutation VIMP, minimal depth & varPro
πΉ Class imbalance, imputation & test-time OOD
πΉ Random Hazard Forests & Super Greedy Trees
π¨βπ« Featuring renowned instructors:
Hemant Ishwaran, Professor of Public Health Sciences & Director of Statistical Methodology, University of Miami
Min Lu, Research Associate Professor, Division of Biostatistics, University of Miami
π° Registration Fees:
π Students with valid Student ID: $10
π’ Industry / Academia: $25
β° Registration Deadline: September 3, 2026
π Register here: https://forms.gle/3RQk8zz8Q1uGAzPWA
Whether you work in biostatistics, data science, statistics, or applied research, this is a great opportunity to gain practical R-based experience with modern tree-based methods.See attached Flyer.
Payment details and Zoom link will be shared closer to the course start date.
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Charu Gupta
Statistical science Director
Astrazeneca
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