Applied Machine Learning ((4 Credits))

Catalog description

This course focuses on applying machine learning techniques to real-world problems involving unstructured data such as images, text, and web content. Students will explore the full machine learning pipeline including data representation, model selection, training, evaluation, and deployment. Key concepts include regression, classification, deep learning, and reinforcement learning. Emphasis is placed on practical implementation, performance analysis, and system design. Prerequisites: CSCI 3025 - Python Programming; MATH 3060 - Mathematical Statistics .