Insight Miner

https://www.microsoft.com/en-us/research/group/causal-inference/publications/ Causality and Machine Learning - Microsoft Research We research causal inference methods and their applications in computing, building on breakthroughs in machine learning, statistics, and social sciences. www.microsoft.com

https://arxiv.org/abs/2103.11251 Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges Interpretability in machine learning (ML) is crucial for high stakes decisions and troubleshooting. In this work, we provide fundamental principles for interpretable ML, and dispel common misunderstandings that dilute the importance of this crucial topic. arxiv.org

다음 블로그 참고 시리즈 | k8s-mlops - djm0727.log (velog.io) 시리즈 | k8s-mlops - djm0727.log deployment와 loadbalancer로 flask를 배포하는 과정입니다. 2021년 10월 3일 velog.io

URL: [2207.04354] An Introduction to Lifelong Supervised Learning (arxiv.org) Title: An Introduction to Lifelong Supervised Learning Authors: Shagun Sodhani, Mojtaba Faramarzi, Sanket Vaibhav Mehta, Pranshu Malviya, Mohamed Abdelsalam, Janarthanan Janarthanan, Sarath Chandar Abstracts: This primer is an attempt to provide a detailed summary of the different facets of lifelong learning. We start ..