ByteSized dRTP: Practical Machine Learning with PyTorch
The session aims to:
- provide an understanding of the structure of a PyTorch model and Machine Learning pipeline
- introduce the different functionalities PyTorch might provide
- encourage good research software engineering (RSE) practice
- exercise careful consideration and understanding of data used for training ML models
The session will cover the following Machine Learning content:
- using Machine Learning for classification
- artificial neural networks (ANNs) treatment of tabular tables