Using W&B beyond experiment tracking

This lesson covers the advanced features of the Weights & Biases platform, including Sweeps for hyperparameter optimization, interactive Tables for data visualization and evaluation, Artifacts for data lineage tracking, and Models for storing and reproducing model development.

The lesson also highlights Reports for sharing key metrics and analysis with stakeholders, and demonstrates how W&B integrates with popular cloud providers, hardware vendors, and ML frameworks.

Additional links:

- W&B Sweeps: https://docs.wandb.ai/guides/sweeps
- W&B Tables: https://docs.wandb.ai/guides/data-vis/tables-quickstart
- W&B Artifacts: https://docs.wandb.ai/guides/artifacts/
- W&B …

advanced analysis beyond biases data data lineage data visualization development evaluation experiment features highlights hyperparameter interactive lineage metrics model development optimization platform reports stakeholders sweeps tables tracking visualization