Practical machine learning with PyTorch

In the last decade machine learning (ML) and deep learning (DL) 1 have revolutionised many fields within science, industry, and beyond.Researchers across domains from the physical sciences to the digital humanities are increasingly looking to leverage these tools in their research.Many will be experts within their own domains, but will not have received any training in machine learning.We have developed, and delivered, a set of materials entitled Practical machine learning with PyTorch, designed to teach participants how to actually write and run ML code in a hands-on fashion whilst also illustrating important design considerations.