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Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more Aditya Bhattacharya
Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more
Aditya Bhattacharya
Explainable AI is a set of techniques used to demystify the outcome of machine learning and AI models, making algorithms more trustworthy and transparent by justifying model predictions. This book helps you to learn how to design explainable ML systems for industrial applications considering the best practices.
304 pages
| 介质类型 | 图书 Paperback Book (平装胶订图书) |
| 已发行 | 2022年7月29日 |
| ISBN13 | 9781803246154 |
| 出版商 | Packt Publishing Limited |
| 页数 | 304 |
| 商品尺寸 | 150 × 220 × 10 mm · 526 g |
| 语言 | 英语 |