A 4.1.2 Describe the hardware requirements for various scenarios where machine learning is deployed.
A4.1.2 outlines machine learning hardware needs, considering processing, storage, and scalability. It covers configurations from standard laptops to advanced infrastructure like GPUs, ASICs, FPGAs, TPUs, edge devices, cloud platforms, and HPC centres, which are crucial for diverse ML scenarios. By the end of this lesson, students will be able to: Link to presentation To make the eBook page available for students use...