Preliminaries

To gain most of this workshop, you would need (if you have not already) to familiarise yourself with the following concepts and skills:

If you lack familiarity with any of the preliminarily skills do not worry! We provide links to great third-party tutorials for you!

Python:

• Basic concepts: objects, functions, data structures
• Data processing:
  • Pandas
    • User Guide
    • Tutorial
  • NumPy
    • User Guide
    • Tutorial
• Deep learning framework:
  • PyTorch
    • User Guide
    • Tutorial
    • Video Walkthrough on PyTorch Tensors
    • Video Walkthrough on Building Neural Networks with PyTorch
• Familiarity with Jupiter Notebooks UI

Machine Learning and NLP:

• Basic understanding of ML concepts: model training and evaluation stages, loss functions, metrics
• Familiarity with NLP domain: word embeddings, text data handling (e.g. tokenisation), familiar with classic NLP problems (e.g., text classifiction)
• Basic knowledge of deep learning (gradients, backpropagation, activation functions)