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Machine Learning in Epidemiology with R — Part II: From Trees to Neural Networks

R-Ladies Rome hosts the second workshop in its Machine Learning in Epidemiology with R series, led by Federica Gazzelloni. With a heart-disease classification example, participants train and compare decision trees, random forests and a simp

Machine Learning in Epidemiology with R — Part II: From Trees to Neural Networks

In inglese

Starts
2026-10-23T16:00:00+00:00
Organizer
R-Ladies Rome
Location
Online event

R-Ladies Rome hosts the second workshop in its Machine Learning in Epidemiology with R series, led by Federica Gazzelloni. With a heart-disease classification example, participants train and compare decision trees, random forests and a simple Keras neural network, following a workflow from data exploration to evaluation on unseen observations. The session covers layers, activation functions, epochs, batch sizes, training and validation loss, accuracy, sensitivity, specificity, ROC/AUC, overfitting and cross-validation. It is for people applying machine learning to epidemiology and health data; basic R and RStudio familiarity is recommended.

Event website