57 min listen
Finding the label errors with Cleanlab with Curtis Northcutt - 006
Finding the label errors with Cleanlab with Curtis Northcutt - 006
ratings:
Length:
56 minutes
Released:
Jan 23, 2020
Format:
Podcast episode
Description
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: miklos@machinelearningcafe.org ---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)
Released:
Jan 23, 2020
Format:
Podcast episode
Titles in the series (16)
Can we predict the accuracy of a Neural Network? Yes, with the WeightWatcher tool by Charles Martin, Ph.D. - 002: In this episode we do a deep dive into deep neural networks. What conclusions can we make looking at the distribution of eigenvalues of each layer? by Machine Learning Cafe