[MLOPS] the importance of experiment tracking and data tracability

[MLOPS] the importance of experiment tracking and data tracability

May 22, 2022

The recording of our talk at Toronto machine learning summit for finance and insurance tech. About the importance of tracking and tracing of experiments and data.

💻 Get a server:

Get started by using our free tier servers: https://app.clear.ml
OR by hosting you own: https://github.com/allegroai/clearml-server

📄 Documentation on Fundamentals:

Get Started: https://clear.ml/docs/latest/docs/getting_started/ds/ds_first_steps
Pip Package / ClearML SDK: https://clear.ml/docs/latest/docs/clearml_sdk
ClearML Data: https://clear.ml/docs/latest/docs/clearml_data/clearml_data
ClearML Agent: https://clear.ml/docs/latest/docs/clearml_agent
Supported libraries for automagical integration: https://clear.ml/docs/latest/docs/integrations/libraries

✨ Follow us and star us!

Github page: https://github.com/allegroai/clearml
Twitter: https://twitter.com/clearmlapp
Slack Channel: https://join.slack.com/t/allegroai-trains/shared_invite/zt-c0t13pty-aVUZZW1TSSSg2vyIGVPBhg
LinkedIn: https://www.linkedin.com/company/clearml