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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.
Nákup knihy
Practical Explainable AI Using Python, Pradeepta Mishra
- Jazyk
- Rok vydání
- 2021
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Doručení
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- Titul
- Practical Explainable AI Using Python
- Podtitul
- Artificial Intelligence Model Explanations Using Python-Based Libraries, Extensions, and Frameworks
- Jazyk
- anglicky
- Autoři
- Pradeepta Mishra
- Vydavatel
- Apress
- Rok vydání
- 2021
- Vazba
- měkká
- Počet stran
- 344
- ISBN13
- 9781484271575
- Série
- Anotace
- 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.