This module explores cutting-edge machine learning techniques and introduces the foundational concept of neural networks, emphasizing their potential as universal function approximators. Exposes learners to optimization algorithms, with a focus on practical implementation. Learners will be exposed to state-of-the-art models such as transformers and large language models (LLMs), exploring their roles in natural language processing and beyond to interpret data. Learners also engage in a mini project, applying learned concepts in a hands-on manner.

Note that this information may change at any time. Please visit the MyBU Student Portal for the most up-to-date course information.