Workshop 3: Computer science in medicine, introduction into Machine learning, traditional learning models (Decision trees, K-NN, Perceptron, SVM, Bagging – Boosting (random forest, Adaboost), etc.)
Branimir Ljubic presents the third workshop: “Computer science in medicine, introduction into Machine learning, traditional learning models (Decision trees, K-NN, Perceptron, SVM, Bagging – Boosting (random forest, Adaboost), etc.)” within the series of workshops: “Clinical informatics, Data science in medicine, Advanced computing.” The third workshop will cover traditional Machine Learning methods.

**NOTE** Just observing is welcome, but to participate in hands-on activities, you must have an Amarel account setup before the workshop. Please complete our web-based form at least 24 hours before the workshop (do this as soon as possible).

If you have questions or need help, please contact Branimir Ljubic.

Register to attend the workshop: