Applying Artificial Intelligence in practice: case studies

This week’s topics

Applying Artificial Intelligence in practice: case studies

1. Case analysis
2. Linking theory to practice
3. Evaluating evidence

What you will be able to do

• 1.4 Analyse the significance of the bias-variance trade-off in machine learning.
• 2.4 Analyse and compare common optimisation strategies for neural network training.
• 2.5 Evaluate the advantages and disadvantages of deep and shallow neural network architectures.
• 3.4 Evaluate the performance of trained neural network models with reference to the training-test gap.
• 4.2 Compare deep generative modelling approaches along several dimensions.
• 4.4 Analyse the principal training methods of large language models.
• 4.5 Evaluate the importance of the transformer architecture in the success of large language models.
• 5.3 Evaluate the benefits provided and risks posed by AI in the field of security.

Activity

Case-study workshop: apply the unit’s concepts to a real or realistic case and evaluate the outcome.

Study materials