Practical Explainable Ai Using Python
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Practical Explainable Ai Using Python
Learn The Ins And Outs Of Decisions, Biases, And Reliability Of Ai Algorithms And How To Make Sense Of These Predictions. This Book Explores The So-called Black-box Models To Boost The Adaptability, Interpretability, And Explainability Of The Decisions Made By Ai Algorithms Using Frameworks Such As Python Xai Libraries, Tensorflow 2.0, Keras, And Custom Frameworks Using Python Wrappers. Youll Begin With An Introduction To Model Explainability And Interpretability Basics, Ethical Consideration, And Biases In Predictions Generated By Ai Models.
- 品牌: Springer Nature B.V
- 类别: 教育
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语言: English
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作者: Pradeepta Mishra
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长度: 344
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出版日期: 2021-12-15
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出版社／标签: APress
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格式: Paperback
- Fruugo ID: 529191864-1074427773
- ISBN: 9781484271575
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