Christoph Molnar: We have a new paper on arxiv 🎉🎉
Interpretable Machine Learning - A Brief History, State-of-the-Art and Challenges.
Best to read in a comfortable chair with a cup of coffee/tea. It's an extended abstract to a keynote I gave at the ECML XKDD workshop.
19 replies, 888 likes
elvis: The future of machine learning and its adoption in the real world relies on being able to better understand how models make predictions, especially in heavily regulated domains.
Take a look at this paper on interpretable ML to better understand this area of study and challenges.
0 replies, 49 likes
Javier Nogales: This paper helps to shed some light on interpretation of (black box) machine-learning tools
Overview and history of #IML: https://arxiv.org/pdf/2010.09337.pdf #datascience https://t.co/hE9PSYPgBk
0 replies, 6 likes
Bhagirath Kumar Lader: Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges
Christoph Molnar, Giuseppe Casalicchio, Bernd Bischl
#machinelearning #deeplearning #art #artificialintelligence #AI #XAI
0 replies, 1 likes
Found on Oct 20 2020 at https://arxiv.org/pdf/2010.09337.pdf