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Sinopsis
Data Representation, Preprocessing, and Dimensionality Reduction provides a comprehensive introduction to the essential techniques used for preparing data for analytics, machine learning, and artificial intelligence applications. The book explores methods for representing structured and unstructured data, handling missing values, noise, and inconsistencies, and transforming raw data into meaningful formats. It also covers feature selection, feature extraction, normalization, encoding, and dimensionality reduction techniques such as PCA and other modern approaches. Through practical examples and real-world applications, the book demonstrates how effective data preprocessing and dimensionality reduction improve model performance, computational efficiency, and decision-making accuracy in data-driven environments.
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Data Representation, Preprocessing, and Dimensionality Reduction
Publicado por
LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6630237846
ISBN 13: 9786630237849
Nuevo
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Data Representation, Preprocessing, and Dimensionality Reduction
Publicado por
LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6630237846
ISBN 13: 9786630237849
Nuevo
PAP
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: L0-9786630237849
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Data Representation, Preprocessing, and Dimensionality Reduction (Paperback)
Publicado por
LAP Lambert Academic Publishing, 2026
ISBN 10: 6630237846
ISBN 13: 9786630237849
Nuevo
Paperback
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. Data Representation, Preprocessing, and Dimensionality Reduction provides a comprehensive introduction to the essential techniques used for preparing data for analytics, machine learning, and artificial intelligence applications. The book explores methods for representing structured and unstructured data, handling missing values, noise, and inconsistencies, and transforming raw data into meaningful formats. It also covers feature selection, feature extraction, normalization, encoding, and dimensionality reduction techniques such as PCA and other modern approaches. Through practical examples and real-world applications, the book demonstrates how effective data preprocessing and dimensionality reduction improve model performance, computational efficiency, and decision-making accuracy in data-driven environments. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9786630237849
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Data Representation, Preprocessing, and Dimensionality Reduction
Publicado por
LAP LAMBERT Academic Publishing Jul 2026, 2026
ISBN 10: 6630237846
ISBN 13: 9786630237849
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 244 pp. Englisch. Nº de ref. del artículo: 9786630237849
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Data Representation, Preprocessing, and Dimensionality Reduction
Publicado por
LAP Lambert Academic Publishing, 2026
ISBN 10: 6630237846
ISBN 13: 9786630237849
Nuevo
Tapa blanda
Librería: California Books, Miami, FL, Estados Unidos de America
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Data Representation, Preprocessing, and Dimensionality Reduction
Publicado por
LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6630237846
ISBN 13: 9786630237849
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data Representation, Preprocessing, and Dimensionality Reduction provides a comprehensive introduction to the essential techniques used for preparing data for analytics, machine learning, and artificial intelligence applications. The book explores methods for representing structured and unstructured data, handling missing values, noise, and inconsistencies, and transforming raw data into meaningful formats. It also covers feature selection, feature extraction, normalization, encoding, and dimensionality reduction techniques such as PCA and other modern approaches. Through practical examples and real-world applications, the book demonstrates how effective data preprocessing and dimensionality reduction improve model performance, computational efficiency, and decision-making accuracy in data-driven environments. Nº de ref. del artículo: 9786630237849
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Data Representation, Preprocessing, and Dimensionality Reduction
Publicado por
LAP LAMBERT Academic Publishing, 2026
ISBN 10: 6630237846
ISBN 13: 9786630237849
Nuevo
Taschenbuch
Librería: preigu, Osnabrück, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Data Representation, Preprocessing, and Dimensionality Reduction | Parveen Kumari (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786630237849 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 136150734
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Data Representation, Preprocessing, and Dimensionality Reduction (Paperback)
Publicado por
LAP Lambert Academic Publishing, 2026
ISBN 10: 6630237846
ISBN 13: 9786630237849
Nuevo
Paperback
Librería: CitiRetail, Stevenage, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. Data Representation, Preprocessing, and Dimensionality Reduction provides a comprehensive introduction to the essential techniques used for preparing data for analytics, machine learning, and artificial intelligence applications. The book explores methods for representing structured and unstructured data, handling missing values, noise, and inconsistencies, and transforming raw data into meaningful formats. It also covers feature selection, feature extraction, normalization, encoding, and dimensionality reduction techniques such as PCA and other modern approaches. Through practical examples and real-world applications, the book demonstrates how effective data preprocessing and dimensionality reduction improve model performance, computational efficiency, and decision-making accuracy in data-driven environments. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9786630237849
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Data Representation, Preprocessing, and Dimensionality Reduction
Publicado por
LAP LAMBERT Academic Publishing Jul 2026, 2026
ISBN 10: 6630237846
ISBN 13: 9786630237849
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Data Representation, Preprocessing, and Dimensionality Reduction provides a comprehensive introduction to the essential techniques used for preparing data for analytics, machine learning, and artificial intelligence applications. The book explores methods for representing structured and unstructured data, handling missing values, noise, and inconsistencies, and transforming raw data into meaningful formats. It also covers feature selection, feature extraction, normalization, encoding, and dimensionality reduction techniques such as PCA and other modern approaches. Through practical examples and real-world applications, the book demonstrates how effective data preprocessing and dimensionality reduction improve model performance, computational efficiency, and decision-making accuracy in data-driven environments.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 244 pp. Englisch. Nº de ref. del artículo: 9786630237849
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Data Representation, Preprocessing, and Dimensionality Reduction (Paperback)
Publicado por
LAP Lambert Academic Publishing, 2026
ISBN 10: 6630237846
ISBN 13: 9786630237849
Nuevo
Paperback
Librería: AussieBookSeller, Truganina, VIC, Australia
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. Data Representation, Preprocessing, and Dimensionality Reduction provides a comprehensive introduction to the essential techniques used for preparing data for analytics, machine learning, and artificial intelligence applications. The book explores methods for representing structured and unstructured data, handling missing values, noise, and inconsistencies, and transforming raw data into meaningful formats. It also covers feature selection, feature extraction, normalization, encoding, and dimensionality reduction techniques such as PCA and other modern approaches. Through practical examples and real-world applications, the book demonstrates how effective data preprocessing and dimensionality reduction improve model performance, computational efficiency, and decision-making accuracy in data-driven environments. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9786630237849
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