Interpretable Machine Learning with Python:
Build explainable, fair, and robust high-performance models with hands-on, real-world examples, 2nd EditionEnglish | 2022 | ISBN: 180323542X | 698 Pages | MOBI EPUB (True) | 20 MB
See how white-box models work, compare them to black-box and glass-box models, and examine their trade-offs. Get up to speed with a vast array of interpretation methods, also known as Explainable AI (XAI) methods, and how to apply them to different use cases, be it for classification or regression, tabular data, time-series, images, or text.
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