Practical Explainable AI Using Python

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

Auteurs

• Pradeepta Mishra

Paramètres

• 344 pages
• 13 heures de lecture

• Informatique, programmation

En savoir plus sur le livre

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.

Achat du livre

• Année de publication: 2021
• Reliure: (souple)