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DTSTART;TZID=America/New_York:20210527T130000
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SUMMARY:Machine Learning Series by OARC — Random Forest Workshop
DESCRIPTION:Register to attend at the bottom of this page. A Zoom link will be emailed after filling out the the registration form. \nAmarel account: You need an Amarel account to participate in the lab section Apply here as soon as possible.\nVPN setup: You have to be connected on Rutgers’ network or be on VPN to access Amarel resources.\nIf you have any questions\, please email Janet Chang at janet.chang@rutgers.edu \nTopics:\n1. Introduction to Machine Learning (ML) \n\nBig data and Machine Learning\nRelate Machine Learning to other disciplines\nMachine Learning algorithms\nClassification and Regression\n\n2. Understanding Random Forest (RF) \n\nApplications of Random Forests\nWhy Random Forests\nThe Random Forest Algorithm\nFundamental concepts – ML\, RF\n\n3. Implementing Random Forest \n\nFeature Importance and Feature Selection\nDealing with missing data\, and imbalanced data\nBest split of the node–node impurity\n\n\nOver-fitting and underfitting\nThe model performance\nThe model interpretability\n\n4. Lab Exercise \nWe will use health data combined with gene expression data to build random forest models\, predicting output variables. Both classifier and regressor will be addressed. \n \nTo Register: \n\n	Notice: JavaScript is required for this content.
URL:https://oarc.rutgers.edu/event/machine-learning-series-by-oarc-random-forest-workshop-5-27-21/
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