Local Interpretable Model-Agnostic Explanations (LIME): An Introduction â OâReilly

Linking pages

GitHub - marcotcr/lime: Lime: Explaining the predictions of any machine learning classifier https://github.com/marcotcr/lime 12 comments
Trusting the Black Box. Self-driving cars promise to… | by Brandon Sherman | Medium https://medium.com/@brandon.i.sherman/into-the-black-hole-31a8fdf3ffb 6 comments
GitHub - prakhar21/50-Days-of-ML: A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects https://github.com/prakhar21/100-Days-of-ML 3 comments
5 Types of bias & how to eliminate them in your machine learning project | by Salma Ghoneim | Towards Data Science https://towardsdatascience.com/5-types-of-bias-how-to-eliminate-them-in-your-machine-learning-project-75959af9d3a0?source=main_stats_page 3 comments
Automating customer support when you lack data | by Alex Wahl | Insight https://blog.insightdatascience.com/automating-customer-support-when-you-lack-data-e9975fd8a053 0 comments
5 Types of bias & how to eliminate them in your machine learning project | by Salma Ghoneim | Towards Data Science https://towardsdatascience.com/5-types-of-bias-how-to-eliminate-them-in-your-machine-learning-project-75959af9d3a0 0 comments
Introducing Seldon Deploy. When we released Seldon’s open-source… | by Alex Housley | Machine Learning Deployment | Medium https://medium.com/seldon-open-source-machine-learning/introducing-seldon-deploy-c390d11af20c 0 comments
LIME - Local Interpretable Model-Agnostic Explanations – Marco Tulio Ribeiro – http://homes.cs.washington.edu/~marcotcr/blog/lime/ 0 comments
Explaining Deep NLP Models – Juliano Viana – Senior Machine Learning Engineer @ AWS https://jjviana.github.io/Explaining-Deep-NLP-Models/ 0 comments