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Interpretable Machine Learning with Python: Explore the inner workings of machine learning models with robust explanations and improve your predictions using Python libraries such as LIME, SHAP, ELI5, and more
$17.48
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- Understand the key concepts of Explainable AI (XAI) and its importance in deep learning models.
- Learn various techniques for interpreting and explaining deep learning models, including local and global methods.
- Explore visualization techniques for making deep learning models more transparent and understandable.
- Gain insights into the ethical and societal implications of XAI in real-world applications.
- Discover best practices for implementing XAI in deep learning projects.
- Stay up-to-date with the latest research and advancements in the field of XAI.
- Enhance the trustworthiness and reliability of deep learning models through effective explanations.
- Improve decision-making processes by providing clear and interpretable insights from deep learning models.
Condition: New original from publisher
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