Learning Path

Mathematical Foundations → Applications in Scientific Domains

This learning path equips advanced science students with the knowledge and skills to apply machine learning methods to scientific problems. It covers essential mathematical foundations, core ML paradigms (supervised, unsupervised, neural networks), and specialized techniques like physics-informed neural networks, culminating in practical applications across scientific domains.