Foundations of Machine Learning

Catalog description

This course provides a comprehensive introduction to the fundamental principles of machine learning, focusing on key concepts, algorithms, and practical applications. Students will explore both supervised and unsupervised learning techniques, neural networks, deep learning, and natural language processing (NLP). The course emphasizes hands-on learning, guiding students through model evaluation, data preprocessing, and feature selection while considering the ethical implications of AI and machine learning. By the end of the course, students will have the knowledge and skills needed to apply machine learning techniques in real-world scenarios.