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REGISTER NOW!!! ASA Traveling Course: Tree-Based Machine Learning Methods

  • 1.  REGISTER NOW!!! ASA Traveling Course: Tree-Based Machine Learning Methods

    Posted 10 days ago

    Last chance to register for the travelling course offered by ASA Austin Chapter. See details below:

    🌟 Tree-Based Machine Learning Methods: Prediction, Inference & Variable Selection with the randomForestSRC Ecosystem
    πŸ“… Half-Day | 4 Hours
    πŸ’» 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:
    πŸ”Ή Regression, classification & survival
    πŸ”Ή Random forest ensembles
    πŸ”Ή Out-of-bag inference & test-data prediction
    πŸ”Ή Variable selection using permutation VIMP, minimal depth &     varPro
    πŸ”Ή Class imbalance, imputation & test-time OOD
    πŸ”Ή Random Hazard Forests & Super Greedy Trees
    πŸ‘¨β€πŸ« 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
    πŸ’° Registration Fees:
    πŸŽ“ Students with valid Student ID: $10
    🏒 Industry / Academia: $25
    ⏰ Registration Deadline: September 3, 2026
    πŸ”— Register here :ASA Austin Chapter Travel course
    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.


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    Charu Gupta
    Statistical science Director
    Astrazeneca
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