DSCI 3415 - Fundamentals of Machine Learning (3 cr.)

Prerequisites
(DSCI 1412 or CSCE 1101) and (MACT 3223 or MACT 3224)

Description
Data Preparation and Preprocessing, Feature Extraction and Engineering, Supervised Learning Methods including Probabilistic Classifiers (Naive Bayes and Bayesian Networks), Rule-based Methods (Decision Trees and Random Forests), Instance Based Learning (KNNs), Support Vector Machines, and Introduction to Neural Networks, Unsupervised Learning Methods including k-means Clustering, MLE, Expectation Maximization, and Affinity Propagation.

Cross-listed
CSCE 3602
When Offered
Offered once a year.

Check course scheduling information

AUC New Cairo Campus

AUC Tahrir Square Campus

New York

DSCI 3415 - Fundamentals of Machine Learning (3 cr.)