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Kniha Quantum MAPREDUCE Distributed Data Clustering Shristi Singh

Quantum MAPREDUCE Distributed Data Clustering

Autor: Shristi Singh
Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Eliva Press
Dostupnost: Skladem u dodavatele
Odesíláme za 9-15 dnů
760 Kč
Quantum MAPREDUCE using the big data with database of Hadoop. Unlock the potential of Big Data with...

Informace o knize

Autor
Shristi Singh
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2025
Stránek
88
EAN
9789999329156
ISBN
9999329152
Enbook ID
50185554
Vydavatel
Eliva Press
Hmotnost
142
Rozměry
152 x 229 x 5

Kompletní popis

Quantum MAPREDUCE using the big data with database of Hadoop. Unlock the potential of Big Data with cutting-edge cluttering techniques optimized for scalability and performance. This groundbreaking book introduces enhanced K-means approaches and novel distributed algorithms that harness the power of the MAPREDUCE framework. Designed for researchers, data scientists, and professionals, it bridges theoretical insights with practical implementations. Whether you're tackling massive datasets or seeking to refine your machine learning strategies, this book offers the tools and knowledge to lead in the era of data-driven innovation.

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