Interpretable AI : building explainable machine learning systems / Ajay Thampi.

AI doesn't have to be a black box. These practical techniques help shine a light on your model's mysterious inner workings. Make your AI more transparent, and you'll improve trust in your results, combat data leakage and bias, and ensure compliance with legal requirements. Interpretab...

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Bibliographic Details

Online Access:	Full Text (via O'Reilly/Safari)
Main Author:	Thampi, Ajay (Author)
Other title:	Interpretable artificial intelligence
Format:	eBook
Language:	English
Published:	Shelter Island, NY : Manning Publications Co., [2022]
Edition:	[First edition].
Subjects:	Machine learning. Artificial intelligence. Python (Computer program language) Artificial intelligence Machine learning