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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.
Buchkauf
Practical Explainable AI Using Python, Pradeepta Mishra
- Sprache
- Erscheinungsdatum
- 2021
- product-detail.submit-box.info.binding
- (Paperback)
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- Titel
- Practical Explainable AI Using Python
- Untertitel
- Artificial Intelligence Model Explanations Using Python-Based Libraries, Extensions, and Frameworks
- Sprache
- Englisch
- Autor*innen
- Pradeepta Mishra
- Verlag
- Apress
- Erscheinungsdatum
- 2021
- Einband
- Paperback
- Seitenzahl
- 344
- ISBN13
- 9781484271575
- Reihe
- Schlagwörter
- Sachbücher, Technologie & Industrie, Computer & Internet
- Beschreibung
- 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.