Instrumenting Weights & Biases: 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

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agency analysis analyze apply biases case competition data detection error kaggle knowledge lab learn ml pipelines pii pipelines session weights & biases will