Artificial Intelligence Machine Learning by Malik Latesh (29 results)

Condition: New.

Hardcover. Condition: new. Hardcover. 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 learning architectures, and the basics of generative AI. Detailed discussions of data preprocessing, model training, evaluation metrics, and Python-based implementation make this book both practical and accessible.Offers real-world examples and case studies illustrating the societal impact and practical applications of AI and ML technologiesDiscusses data preprocessing techniques, model selection, and evaluation metrics with practical implementation in Python and in detailExplores AI problem-solving processes, knowledge representation, and model training strategies, catering to readers with varying levels of technical expertiseCovers AI and ML principles spanning statistical techniques, ML algorithms, deep learning structures, and generative AI basicsFocuses on societal applications in healthcare, agriculture, and education, addressing challenges faced by the elderly and special needs individualsThis book is for professionals, researchers, and scholars interested in the application of AI and ML. This book introduces foundational and advanced concepts in artificial intelligence and machine learning, focusing on their real-world applications and societal implications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New. 1st edition NO-PA16APR2015-KAP.

Condition: New.

Condition: New.

Hardback. Condition: New. New copy - Usually dispatched within 4 working days.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: new. Paperback. 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 learning architectures, and the basics of generative AI. Detailed discussions of data preprocessing, model training, evaluation metrics, and Python-based implementation make this book both practical and accessible.Offers real-world examples and case studies illustrating the societal impact and practical applications of AI and ML technologiesDiscusses data preprocessing techniques, model selection, and evaluation metrics with practical implementation in Python and in detailExplores AI problem-solving processes, knowledge representation, and model training strategies, catering to readers with varying levels of technical expertiseCovers AI and ML principles spanning statistical techniques, ML algorithms, deep learning structures, and generative AI basicsFocuses on societal applications in healthcare, agriculture, and education, addressing challenges faced by the elderly and special needs individualsThis book is for professionals, researchers, and scholars interested in the application of AI and ML. This book introduces foundational and advanced concepts in artificial intelligence and machine learning, focusing on their real-world applications and societal implications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: New.

Condition: New.

Condition: New. 1st edition NO-PA16APR2015-KAP.

Hardcover. Condition: Brand New. 256 pages. 9.18x6.12x9.45 inches. In Stock.

Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.

Condition: New.

Hardcover. Condition: new. Hardcover. 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 learning architectures, and the basics of generative AI. Detailed discussions of data preprocessing, model training, evaluation metrics, and Python-based implementation make this book both practical and accessible.Offers real-world examples and case studies illustrating the societal impact and practical applications of AI and ML technologiesDiscusses data preprocessing techniques, model selection, and evaluation metrics with practical implementation in Python and in detailExplores AI problem-solving processes, knowledge representation, and model training strategies, catering to readers with varying levels of technical expertiseCovers AI and ML principles spanning statistical techniques, ML algorithms, deep learning structures, and generative AI basicsFocuses on societal applications in healthcare, agriculture, and education, addressing challenges faced by the elderly and special needs individualsThis book is for professionals, researchers, and scholars interested in the application of AI and ML. This book introduces foundational and advanced concepts in artificial intelligence and machine learning, focusing on their real-world applications and societal implications. . Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Paperback. 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 learning architectures, and the basics of generative AI. Detailed discussions of data preprocessing, model training, evaluation metrics, and Python-based implementation make this book both practical and accessible.Offers real-world examples and case studies illustrating the societal impact and practical applications of AI and ML technologiesDiscusses data preprocessing techniques, model selection, and evaluation metrics with practical implementation in Python and in detailExplores AI problem-solving processes, knowledge representation, and model training strategies, catering to readers with varying levels of technical expertiseCovers AI and ML principles spanning statistical techniques, ML algorithms, deep learning structures, and generative AI basicsFocuses on societal applications in healthcare, agriculture, and education, addressing challenges faced by the elderly and special needs individualsThis book is for professionals, researchers, and scholars interested in the application of AI and ML. This book introduces foundational and advanced concepts in artificial intelligence and machine learning, focusing on their real-world applications and societal implications. . Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Latesh Malik is working as Associate Professor &amp Head of the Department of Computer Science &amp Engg, Government College of Engineering, Nagpur, Chairman of the Board of Studies, Computer Engineering related branch board, R.T.M. Nagpur Unive.

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.

Buch. Condition: Neu. Artificial Intelligence and Machine Learning for Real-World Applications | A Beginner's Guide with Case Studies | Latesh Malik (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2025 | Chapman and Hall/CRC | EAN 9781032873466 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Latesh Malik is working as Associate Professor &amp Head of the Department of Computer Science &amp Engg, Government College of Engineering, Nagpur, Chairman of the Board of Studies, Computer Engineering related branch board, R.T.M. Nagpur Unive.

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 learning architectures, and the basics of generative AI. Detailed discussions of data preprocessing, model training, evaluation metrics, and Python-based implementation make this book both practical and accessible.

Taschenbuch. Condition: Neu. Artificial Intelligence and Machine Learning for Real-World Applications | A Beginner's Guide with Case Studies | Latesh Malik (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | Chapman and Hall/CRC | EAN 9781032873459 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 learning architectures, and the basics of generative AI. Detailed discussions of data preprocessing, model training, evaluation metrics, and Python-based implementation make this book both practical and accessible.