{"title":"Antonio Di Cecco","description":"\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eLeonida Gianfagna (Phd, MBA)\u003c\/strong\u003e is a theoretical physicist currently working in cybersecurity and machine learning as the R\u0026amp;D Director at Cyber Guru. Before joining Cyber Guru, he spent 15 years at IBM, holding leadership roles in software development for IT Service Management (ITSM).\u003c\/p\u003e\u003cbr\u003e\u003cp\u003eHe is the author of several publications in theoretical physics and computer science and has been recognized as an \u003cstrong\u003eIBM Master Inventor\u003c\/strong\u003e, with over 15 patent filings.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eAntonio Di Cecco (Phd, MBA) \u003c\/strong\u003eis a theoretical physicist with a strong mathematical background, dedicated to delivering AI\/ML education at all proficiency levels, from beginners to experts. Passionate about all areas of machine learning, he leverages his mathematical expertise to make complex concepts accessible through both in-person and remote classes. As the founder of a School of AI community inspired by the AI for Good movement, he actively promotes AI education and its positive impact. He also holds a Master's degree in Economics with a focus on innovation. His professional background includes research positions at Sony CSL \/ Sapienza University, and he currently works at Università D'Annunzio Chieti-Pescara.\u003c\/p\u003e","products":[{"product_id":"explainable-ai-with-python-antonio-di-cecco-ebook","title":"Explainable AI with Python","description":"\u003cp class=\"MsoNormal\"\u003eChapter 1 The Landscape.- Chapter 2 \"Explainable AI: needs, opportunities and challenges\".- Chapter 3 Intrinsic Explainable Models.- Chapter 4 Model-agnostic methods for XAI.- Chapter 5 Explaining Deep Learning Models.- Chapter 6 Additive Models for Interpretability.- Chapter 7 Adversarial Machine Learning and Explainability.-Chapter 8 Explainability of Language Models (XAI and LLM).- Chapter 9 Making science with Machine Learning and XAI.- Chapter 10 AGI, LLM, XAI.- Chapter 11 \"A proposal for a sustainable model of Explainable AI.\u003c\/p\u003e","brand":"Antonio Di Cecco","offers":[{"title":"Default Title","offer_id":53652538622279,"sku":"9783031922299","price":58.84,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/explainable-ai-with-python-ebook-cover.webp?v=1775373227"}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/collections\/antonio-di-cecco-autor-kollektion.webp?v=1775373225","url":"https:\/\/www.cinebuch.de\/collections\/antonio-di-cecco.oembed","provider":"CineBuch","version":"1.0","type":"link"}