Kyunghyuncho Teaching Fundamentals of Machine Learning (kyunghyuncho.me)

In a significant shift for machine learning education, Kyunghyun Cho revamped his NYU course, "Fundamentals of Machine Learning," to adapt to the evolving landscape dominated by AI tools and coding assistants. This semester, Cho focused on teaching foundational concepts in mathematics and statistics while enabling students to apply their knowledge by building full-fledged web applications from scratch. This hands-on approach aims to familiarize students with both machine learning principles and the practical aspects of software development, fostering creativity and confidence before they enter the workforce. Exploring diverse machine learning topics, Cho's course included projects on vector spaces, dimensionality reduction, clustering, and classification, which were complemented by lab sessions emphasizing algorithm mechanics and real-world applications. By encouraging students to embrace challenges and learn through experimentation, Cho aims to prepare them for the complexities of modern software engineering. The course ultimately reflects a broader trend in education to move away from rote learning, empowering students to think independently and innovatively in a rapidly changing field.