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Artificial Intelligence and Machine Learning for Real-World A... - 9781032873466

Artificial Intelligence and Machine Learning for Real-World ApplicationsA Beginner's Guide with Case Studies

Author(s): Latesh Malik, Sandhya Arora, Urmila Shrawankar

Format: Hardback

Publisher: Taylor & Francis Ltd, United Kingdom

Imprint: Chapman & Hall/CRC

ISBN-13: 9781032873466, 978-1032873466

Synopsis

This book introduces foundational and advanced concepts in artificial intelligence (AI) and machine learning (ML), focusing on their real-world applications and societal implications. Covering topics from knowledge representation and model interpretability to deep learning and generative AI, Artificial Intelligence and Machine Learning for Real-World Applications: A Beginner's Guide with Case Studies includes practical Python implementations and case studies from healthcare, agriculture, and education. Beginning with core concepts such as AI fundamentals, knowledge representation, and statistical techniques, the text gradually advances to cover ML algorithms, deep le.

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Artificial Intelligence and Machine Learning for Real-World A... - 9781032873466

Artificial Intelligence and Machine Learning for Real-World ApplicationsA Beginner's Guide with Case Studies

Author(s): Latesh Malik, Sandhya Arora, Urmila Shrawankar

Format: Hardback

Publisher: Taylor & Francis Ltd, United Kingdom

Imprint: Chapman & Hall/CRC

ISBN-13: 9781032873466, 978-1032873466

Synopsis

This book introduces foundational and advanced concepts in artificial intelligence (AI) and machine learning (ML), focusing on their real-world applications and societal implications. Covering topics from knowledge representation and model interpretability to deep learning and generative AI, Artificial Intelligence and Machine Learning for Real-World Applications: A Beginner's Guide with Case Studies includes practical Python implementations and case studies from healthcare, agriculture, and education. Beginning with core concepts such as AI fundamentals, knowledge representation, and statistical techniques, the text gradually advances to cover ML algorithms, deep le.

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Product Description

Artificial Intelligence and Machine Learning for Real-World ApplicationsA Beginner's Guide with Case Studies

Author(s): Latesh Malik, Sandhya Arora, Urmila Shrawankar

Format: Hardback

Publisher: Taylor & Francis Ltd, United Kingdom

Imprint: Chapman & Hall/CRC

ISBN-13: 9781032873466, 978-1032873466

Synopsis

This book introduces foundational and advanced concepts in artificial intelligence (AI) and machine learning (ML), focusing on their real-world applications and societal implications. Covering topics from knowledge representation and model interpretability to deep learning and generative AI, Artificial Intelligence and Machine Learning for Real-World Applications: A Beginner's Guide with Case Studies includes practical Python implementations and case studies from healthcare, agriculture, and education. Beginning with core concepts such as AI fundamentals, knowledge representation, and statistical techniques, the text gradually advances to cover ML algorithms, deep le.

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format

hardcover

Language

english

type

textbook

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Taylor & Francis Ltd

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