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This book, which arises from the teaching experience of the authors, provides an agile overview of the different Artificial Intelligence technologies.
Artificial Intelligence is a multidisciplinary field which originates from diversified disciplines, from data science to statistics, from natural language processing to signal processing, and has produced different types of solutions, such as supervised, unsupervised, and semi-supervised learning, and technologies, including deep neural networks and generative artificial intelligence.
This book also provides an overview of the main use cases and maps them into the most suitable method.
To help readers get along, the book also includes references to specific application examples solved in popular open source libraries (such as scikit-learn and Keras) and includes references to key literature articles.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
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Introduction to Artificial Intelligence: from data analysis to generative AI
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ISBN 13: 9788894787603
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Paperback. Condizione: new. Paperback. This book, which arises from the teaching experience of the authors, provides an agile overview of the different Artificial Intelligence technologies.Artificial Intelligence is a multidisciplinary field which originates from diversified disciplines, from data science to statistics, from natural language processing to signal processing, and has produced different types of solutions, such as supervised, unsupervised, and semi-supervised learning, and technologies, including deep neural networks and generative artificial intelligence. This book also provides an overview of the main use cases and maps them into the most suitable method.To help readers get along, the book also includes references to specific application examples solved in popular open source libraries (such as scikit-learn and Keras) and includes references to key literature articles. This book provides an agile overview of the different Artificial Intelligence technologies. This book provides an overview of use cases and maps them into the most suitable method. It includes references to specific examples solved in popular open source libraries (such as scikit-learn and Keras) and includes references to key literature articles. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9788894787603
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