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Explainable Artificial Intelligence: An Introduction to Xai

0/5 ( ratings)

1. Introduction to Interpretability and Explainability.- 2. Pre-Model Interpretability and Explainability.- 3. Model Visualization Techniques and Traditional Interpretable Algorithms.- 4. Model Interpretability: Advances in Interpretable Machine Learning.- 5. Post-hoc Interpretability and Explanations.- 6. Explainable Deep Learning.- 7. Explainability in Time Series Forecasting, Natural Language Processing, and Computer Vision.- 8. XAI: Challenges and Future.

Pages: 336

Format: Hardcover

Publisher: Springer

Release: October 21, 2021

ISBN: 3030833550

ISBN 13: 9783030833558

Explainable Artificial Intelligence: An Introduction to Xai

0/5 ( ratings)

1. Introduction to Interpretability and Explainability.- 2. Pre-Model Interpretability and Explainability.- 3. Model Visualization Techniques and Traditional Interpretable Algorithms.- 4. Model Interpretability: Advances in Interpretable Machine Learning.- 5. Post-hoc Interpretability and Explanations.- 6. Explainable Deep Learning.- 7. Explainability in Time Series Forecasting, Natural Language Processing, and Computer Vision.- 8. XAI: Challenges and Future.

Pages: 336

Format: Hardcover

Publisher: Springer

Release: October 21, 2021

ISBN: 3030833550

ISBN 13: 9783030833558

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