Machine Learning

The course in Machine Learning covers the foundational concepts and techniques of building and training intelligent computer systems. This includes topics such as probability and statistics, supervised and unsupervised learning algorithms, deep learning, natural language processing, computer vision, and reinforcement learning. Students also learn about the ethical and societal implications of machine learning, as well as practical applications in various industries such as finance, healthcare, and marketing. The course involves both theoretical lectures and hands-on projects that require programming and data analysis skills.