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The book is suitable for students and academics aiming to build up their background on explainable AI and can guide them in making machine/deep learning models more transparent. The book can be used as a reference book for teaching a graduate course on artificial intelligence, applied machine learning, or neural networks. Researchers working in the area of AI can use this book to discover the recent developments in XAI. Besides its use in academia, this book could be used by practitioners in AI industries, healthcare industries, medicine, autonomous vehicles, and security surveillance, who would like to develop AI techniques and applications with explanations.
The book is suitable for students and academics aiming to build up their background on explainable AI and can guide them in making machine/deep learning models more transparent. The book can be used as a reference book for teaching a graduate course on artificial intelligence, applied machine learning, or neural networks. Researchers working in the area of AI can use this book to discover the recent developments in XAI. Besides its use in academia, this book could be used by practitioners in AI industries, healthcare industries, medicine, autonomous vehicles, and security surveillance, who would like to develop AI techniques and applications with explanations.
Written for beginners and advanced machine learning users, including engineers and researchers on AI and applications
Covers concepts such as black box models, transparency, interpretable machine learning and explanations
Presents evaluation methods and metrics, ethical, legal, and social issues, and applications and examples of XAI
| Erscheinungsjahr: | 2022 |
|---|---|
| Fachbereich: | Technik allgemein |
| Genre: | Technik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Seiten: | 280 |
| Reihe: | Intelligent Systems Reference Library |
| Inhalt: |
xxii
256 S. 22 s/w Illustr. 64 farbige Illustr. 256 p. 86 illus. 64 illus. in color. |
| ISBN-13: | 9783031128066 |
| ISBN-10: | 3031128060 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | HC runder Rücken kaschiert |
| Einband: | Gebunden |
| Redaktion: |
Mehta, Mayuri
Chatterjee, Indranath Palade, Vasile |
| Herausgeber: | Mayuri Mehta/Vasile Palade /Indranath Chatterjee |
| Auflage: | 1st ed. 2023 |
| Hersteller: |
Springer International Publishing
Springer International Publishing AG Intelligent Systems Reference Library |
| Maße: | 241 x 160 x 21 mm |
| Von/Mit: | Mayuri Mehta (u. a.) |
| Erscheinungsdatum: | 20.10.2022 |
| Gewicht: | 0,588 kg |
Written for beginners and advanced machine learning users, including engineers and researchers on AI and applications
Covers concepts such as black box models, transparency, interpretable machine learning and explanations
Presents evaluation methods and metrics, ethical, legal, and social issues, and applications and examples of XAI
| Erscheinungsjahr: | 2022 |
|---|---|
| Fachbereich: | Technik allgemein |
| Genre: | Technik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Seiten: | 280 |
| Reihe: | Intelligent Systems Reference Library |
| Inhalt: |
xxii
256 S. 22 s/w Illustr. 64 farbige Illustr. 256 p. 86 illus. 64 illus. in color. |
| ISBN-13: | 9783031128066 |
| ISBN-10: | 3031128060 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | HC runder Rücken kaschiert |
| Einband: | Gebunden |
| Redaktion: |
Mehta, Mayuri
Chatterjee, Indranath Palade, Vasile |
| Herausgeber: | Mayuri Mehta/Vasile Palade /Indranath Chatterjee |
| Auflage: | 1st ed. 2023 |
| Hersteller: |
Springer International Publishing
Springer International Publishing AG Intelligent Systems Reference Library |
| Maße: | 241 x 160 x 21 mm |
| Von/Mit: | Mayuri Mehta (u. a.) |
| Erscheinungsdatum: | 20.10.2022 |
| Gewicht: | 0,588 kg |
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