Instrumenting W&B Live Session: PII data detection

Learn how to instrument W&B in your ML pipelines using a PII detection use case. In this session, Darek will demonstrate how to add W&B to track experiments, analyze data and perform error analysis. We will apply this knowledge to a live Kaggle competition by The Learning Agency Lab - PII Data Detection. 

• Add W&B Experiment Tracking in your code

• Use W&B Tables to visualize data and perform error analysis

• Track dataset versions and model checkpoints with W&B Artifacts