Artificial lntelligence and Machine Learning

Catalog description

This course focuses on applying and programming Machine Learning (ML) algorithms to build Artificial Intelligence (AI) systems. ML, a subfield of AI, includes concepts and techniques such as Deep Learning, Supervised and Unsupervised learning, Neural Networks, K-Nearest Neighbors (KNN) classification, Support Vector Machines (SVM), and logistic regression to solve data-intensive business problems. Students will be expected to design and implement a data driven solution to a real-world business problem.