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Interperetable AI
Taschenbuch von Ajay Thampi
Sprache: Englisch

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Beschreibung
Interpretable AI is a hands-on guide to interpretability techniques that open up the black box of AI. This practical guide simplifies cutting-edge research into transparent and explainable AI, delivering practical methods you can easily implement with Python and open source libraries. With examples from all major machine learning approaches, this book demonstrates why some approaches to AI are so opaque, teaches you to identify the patterns your model has learned, and presents best practices for building fair and unbiased models. When you're done, you'll be able to improve your AI's performance during training, and build robust systems that counter act errors from bias, data leakage, and concept drift.
Interpretable AI is a hands-on guide to interpretability techniques that open up the black box of AI. This practical guide simplifies cutting-edge research into transparent and explainable AI, delivering practical methods you can easily implement with Python and open source libraries. With examples from all major machine learning approaches, this book demonstrates why some approaches to AI are so opaque, teaches you to identify the patterns your model has learned, and presents best practices for building fair and unbiased models. When you're done, you'll be able to improve your AI's performance during training, and build robust systems that counter act errors from bias, data leakage, and concept drift.
Über den Autor

Ajay Thampi is a machine learning engineer at a large tech company primarily focused on responsible AI and fairness. He holds a PhD and his research was focused on signal processing and machine learning. He has published papers at leading conferences and journals on reinforcement learning, convex optimization, and classical machine learning techniques applied to 5G cellular networks.

Details
Erscheinungsjahr: 2022
Fachbereich: Programmiersprachen
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781617297649
ISBN-10: 161729764X
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Thampi, Ajay
Hersteller: Manning Publications
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 231 x 188 x 19 mm
Von/Mit: Ajay Thampi
Erscheinungsdatum: 17.10.2022
Gewicht: 0,608 kg
Artikel-ID: 120212367
Über den Autor

Ajay Thampi is a machine learning engineer at a large tech company primarily focused on responsible AI and fairness. He holds a PhD and his research was focused on signal processing and machine learning. He has published papers at leading conferences and journals on reinforcement learning, convex optimization, and classical machine learning techniques applied to 5G cellular networks.

Details
Erscheinungsjahr: 2022
Fachbereich: Programmiersprachen
Genre: Importe, Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9781617297649
ISBN-10: 161729764X
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Thampi, Ajay
Hersteller: Manning Publications
Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße: 231 x 188 x 19 mm
Von/Mit: Ajay Thampi
Erscheinungsdatum: 17.10.2022
Gewicht: 0,608 kg
Artikel-ID: 120212367
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