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  • Leonida Gianfagna; Antonio Di Cecco
    978-3-030-68640-6
    2021
    Edition 1
    • Offers a high-level perspective that explains the basics of XAI and its impacts on business and society, as well as a useful guide for machine learning practitioners to understand the current techniques to achieve explainability for AIML systems
    • Fills the gaps to acquire the basic knowledge both from a theoretical and a practical perspective (with examples and direct implementation) making the reader quickly capable of working with tools and code for explainable AI
    • Explains methods for the intrinsic interpretable ML models and agnostic methods for the non-interpretable ones
    €140 €126
    10% OFF

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