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Record Nr. |
UNINA9910751383203321 |
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Autore |
Mahalle Parikshit N |
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Titolo |
Data Centric Artificial Intelligence: A Beginner’s Guide / / by Parikshit N. Mahalle, Gitanjali R. Shinde, Yashwant S. Ingle, Namrata N. Wasatkar |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (137 pages) |
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Collana |
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Data-Intensive Research, , 2731-5568 |
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Altri autori (Persone) |
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ShindeGitanjali Rahul <1983-> |
IngleYashwant S |
WasatkarNamrata N |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Artificial intelligence - Data processing |
Computational Intelligence |
Artificial Intelligence |
Data Science |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Introduction -- Model-Centric AI -- Data-Centric Principles for AI Engineering -- Mathematical Foundation for Data Centric AI -- Data-Centric AI -- Data-Centric AI in healthcare -- Data-Centric AI in Mechanical Engineering -- Data-Centric AI in Information Communication and Technology -- Conclusion. |
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Sommario/riassunto |
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This book discusses the best research roadmaps, strategies, and challenges in data-centric approach of artificial intelligence (AI) in various domains. It presents comparative studies of model-centric and data-centric AI. It also highlights different phases in data-centric approach and data-centric principles. The book presents prominent use cases of data-centric AI. It serves as a reference guide for researchers and practitioners in academia and industry. |
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