Register to attend at the bottom of this page. A Zoom link will be emailed after filling out the the registration form.

Amarel account: You need an Amarel account to participate in the lab section Apply here as soon as possible.
VPN setup: You have to be connected on Rutgers’ network or be on VPN to access Amarel resources.
If you have any questions, please email Janet Chang at janet.chang@rutgers.edu

Topics:
1. Introduction to Machine Learning (ML)

• Big data and Machine Learning
• Relate Machine Learning to other disciplines
• Machine Learning algorithms
• Classification and Regression

2. Understanding Random Forest (RF)

• Applications of Random Forests
• Why Random Forests
• The Random Forest Algorithm
• Fundamental concepts – ML, RF

3. Implementing Random Forest

• Feature Importance and Feature Selection
• Dealing with missing data, and imbalanced data
• Best split of the node–node impurity
• Over-fitting and underfitting
• The model performance
• The model interpretability

4. Lab Exercise

We will use health data combined with gene expression data to build random forest models, predicting output variables. Both classifier and regressor will be addressed.

To Register: