In this episode, I talked with Curtis Northcutt about his application cleanlab, with which you can find label errors in your dataset. Cleanlab computes cross-validated probabilities, the confident joint, and the statistics used in uncertainty estimation for dataset labels, and it ranks and sorts the labels by the probabilities of error, so you can easily find them in your dataset.

Curtis' website: https://www.curtisnorthcutt.com/

Curtis on LinkedIn: https://www.linkedin.com/in/cgnorthcutt/

Cleanlab on GitHub: https://github.com/cgnorthcutt/cleanlab

Cleanlab's blog: https://l7.curtisnorthcutt.com/cleanlab-python-package

White Papers: https://arxiv.org/abs/1911.00068 https://arxiv.org/abs/1705.01936

Music by Curtis (PomDP the PhD rapper): https://soundcloud.com/thephdrapper/bars-on-bars https://soundcloud.com/thephdrapper/crown https://soundcloud.com/thephdrapper/dub-dub https://open.spotify.com/album/2Fjg3zF8PGEg9WWNoeyx3X

---General Info---

Podcast's Website: http://machinelearningcafe.org/ Host's LinkedIn: https://www.linkedin.com/in/miklostoth/ Email of the host: [email protected]

---Copyright Info--- Music is from https://filmmusic.io, intro first part is by Miklos Toth and some free garage band loops. :) intro second part: "Aces High" by Kevin MacLeod, outro: "Bars on Bars" by Curtis Northcutt (with his explicit allowance to play)