This book explains how to use the programming language Python to develop machine learning and deep learning tasks. It provides readers with a solid foundation in the fundamentals of machine learning algorithms and techniques. The book covers a wide range of topics, including data preprocessing, supervised and unsupervised learning, model evaluation, and deployment. By leveraging the power of Python, readers will gain the practical skills necessary to build and deploy effective machine learning models, making this book an invaluable resource for anyone interested in exploring the exciting world of artificial intelligence.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Tarkeshwar Barua, Blue Crest Univ., Liberia; Kamal Kant Hiran, Sir Padampat Singhania University, India; Ritesh Kumar Jain, Geetanjali Inst. of Tech. Studies, India; Doshi Ruchi, Universidad Azteca, Mexico
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : New. This book explains how to use the programming language Python to develop machine learning and deep learning tasks. It provides readers with a solid foundation in the fundamentals of machine learning algorithms and techniques. The book covers a wide range of topics, including data preprocessing, supervised and unsupervised learning, model evaluation, and deployment. By leveraging the power of Python, readers will gain the practical skills necessary to build and deploy effective machine learning models, making this book an invaluable resource for anyone interested in exploring the exciting world of artificial intelligence. N° de réf. du vendeur LU-9783110697162
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Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Taschenbuch. Etat : Neu. Neuware -This book explains how to use the programming language Python to develop machine learning and deep learning tasks. It provides readers with a solid foundation in the fundamentals of machine learning algorithms and techniques. The book covers a wide range of topics, including data preprocessing, supervised and unsupervised learning, model evaluation, and deployment. By leveraging the power of Python, readers will gain the practical skills necessary to build and deploy effective machine learning models, making this book an invaluable resource for anyone interested in exploring the exciting world of artificial intelligence. 476 pp. Englisch. N° de réf. du vendeur 9783110697162
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