A4.1 Machine learning fundamentals

This section introduces the fundamentals of machine learning, focusing on its types and practical applications across a range of real-world scenarios. Students will learn to distinguish between supervised, unsupervised, and reinforcement learning, and explore how each type is used in domains such as healthcare, finance, and autonomous systems. They will also examine the hardware requirements necessary for deploying machine learning models, considering factors such as processing power, memory, and specialized hardware like GPUs and TPUs.