All Episodes

December 15, 2020 54 min
When working with data it's important to understand when it is correct. If there is a time dimension, then it can be difficult to know when variation is normal. Anomaly detection is a useful tool to address these challenges, but a difficult one to do well. In this episode Smit Shah and Sayan Chakraborty share the work they have done on Luminaire to make anomaly detection easier to work with. They explain the complexities inherent to working with time series data, the strategies that they have incorporated into Luminaire, and how they are using it in their data pipelines to identify errors early. If you are working with any kind of time series then it's worth giving Luminaure a look.
Share
Mark as Played

Chat About The Python Data & Science Podcast.__init__

Advertise With Us

Popular Podcasts

Crime Junkie
Dateline NBC

Dateline NBC

Current and classic episodes, featuring compelling true-crime mysteries, powerful documentaries and in-depth investigations.

Stuff You Should Know

Stuff You Should Know

If you've ever wanted to know about champagne, satanism, the Stonewall Uprising, chaos theory, LSD, El Nino, true crime and Rosa Parks then look no further. Josh and Chuck have you covered.

For You

    Music, radio and podcasts, all free. Listen online or download the iHeartRadio App.

    Connect

    © 2021 iHeartMedia, Inc.