内容简介
书名：Interpretable AI: Building explainable machine learning systems (MEAP V02)出版社：Manning Publications
作者：Ajay Thampi
出版年份：2020
电子书格式： pdf
简介：Dive into the world of explainable AI with this comprehensive guide. Learn how to build interpretable machine learning systems, crucial for understanding and trusting AI models. Explore various techniques, from feature importance to rule-based systems, enabling transparency and accountability in your AI applications. Ideal for data scientists, machine learning engineers, and anyone seeking to build trustworthy and understandable AI.
ISBN：9781617297649, 16172
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