9786207483907 - Artificial Intelligence de Goyal, Archna; BHAKHAR, RUCHIKA (7 resultados)

Condición: New.

Taschenbuch. Condición: Neu. Artificial Intelligence | Archna Goyal (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207483907 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Condición: New. Print on Demand.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 76 pp. Englisch.

Condición: New. PRINT ON DEMAND.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -'Artificial Intelligence' provides an in-depth exploration of the rapidly evolving field of AI, offering readers a comprehensive overview of its principles, techniques, and applications. Beginning with a historical perspective, the book traces the origins of AI and its evolution into the interdisciplinary domain it is today. Delving into the core concepts, the text elucidates fundamental topics such as machine learning, neural networks, natural language processing, and computer vision, providing clear explanations and illustrative examples to demystify complex algorithms and methodologies. Readers are introduced to key AI paradigms, including supervised and unsupervised learning, reinforcement learning, and deep learning, equipping them with the knowledge to understand and implement cutting-edge AI models. Moreover, the book explores the ethical and societal implications of AI, addressing critical issues such as bias, privacy, and accountability, and prompting readers to contemplate the responsible development and deployment of intelligent systems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'Artificial Intelligence' provides an in-depth exploration of the rapidly evolving field of AI, offering readers a comprehensive overview of its principles, techniques, and applications. Beginning with a historical perspective, the book traces the origins of AI and its evolution into the interdisciplinary domain it is today. Delving into the core concepts, the text elucidates fundamental topics such as machine learning, neural networks, natural language processing, and computer vision, providing clear explanations and illustrative examples to demystify complex algorithms and methodologies. Readers are introduced to key AI paradigms, including supervised and unsupervised learning, reinforcement learning, and deep learning, equipping them with the knowledge to understand and implement cutting-edge AI models. Moreover, the book explores the ethical and societal implications of AI, addressing critical issues such as bias, privacy, and accountability, and prompting readers to contemplate the responsible development and deployment of intelligent systems.