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Practical Explainable AI Using Python

Artificial Intelligence Model Explanations Using Python-Based Libraries, Extensions, and Frameworks

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  • 344 Seiten
  • 13 Lesestunden

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Focusing on the intricacies of AI decision-making, this book delves into biases and the reliability of algorithms, particularly within black-box models. It emphasizes enhancing adaptability, interpretability, and explainability of AI outputs. Readers will engage with practical frameworks, utilizing Python XAI libraries, TensorFlow 2.0+, Keras, and custom Python wrappers to better understand and improve AI predictions.

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Practical Explainable AI Using Python, Pradeepta Mishra

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Erscheinungsdatum
2021
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(Paperback)
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