Insight Miner

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

제목: Applied Machine Learning Explainability Techniques 내용: XAI에 대한 소개 코드: https://github.com/PacktPublishing/Applied-Machine-Learning-Explainability-Techniques GitHub - PacktPublishing/Applied-Machine-Learning-Explainability-Techniques: Applied Machine Learning Explainability Techniques, Applied Machine Learning Explainability Techniques, published by Packt - GitHub - PacktPublishing/Applied-Mac..