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Explainable AI with Python

by Gianfagna, Leonida
Save 18% Save 18%
Current price ₹6,391.00
Original price ₹7,799.00
Original price ₹7,799.00
Original price ₹7,799.00
(-18%)
₹6,391.00
Current price ₹6,391.00

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Book cover type: Paperback
  • ISBN13: 9783030686390
  • Binding: Paperback
  • Subject: Computer Science and Information Technology
  • Publisher: Springer Verlag
  • Publisher Imprint: Springer
  • Publication Date:
  • Pages: N/A
  • Original Price: GBP 59.99
  • Language: English
  • Edition: N/A
  • Item Weight: 300 grams
  • BISAC Subject(s): Artificial Intelligence / General

Model-agnostic methods for XAI are shown to produce explanations without relying on ML models internals that are "opaque." Using examples from Computer Vision, the authors then look at explainable models for Deep Learning and prospective methods for the future.

Leonida Gianfagna (Phd, MBA) is a theoretical physicist that is currently working in Cyber Security as R&D director for Cyber Guru. Before joining Cyber Guru he worked in IBM for 15 years covering leading roles in software development in ITSM (IT Service Management). He is the author of several publications in theoretical physics and computer science and accredited as IBM Master Inventor (15+ filings).

Antonio Di Cecco is a theoretical physicist with a strong mathematical background that is fully engaged on delivering education on AIML at different levels from dummies to experts (face to face classes and remotely). The main strength of his approach is the deep-diving of the mathematical foundations of AIML models that open new angles to present the AIML knowledge and space of improvements for the existing state of art. Antonio has also a "Master in Economics" with focus innovation and teaching experiences. He is leading School of AI in Italy with chapters in Rome and Pescara

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