Khalid osman (19 Ergebnisse)

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Paperback. Zustand: Brand New. 190 pages. 6.14x0.41x9.21 inches. In Stock.

Zustand: New. Muhammad Awais is Associate Professor and Head of the Economics &amp Finance Department at Foundation University School of Science and Technology, Pakistan.Ali Osman Oeztuerk is Rector at Hitit University, Turkey.Omar Khalid.

HRD. Zustand: Used - Very Good. Used - Like New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: Used - Very Good. Used - Like New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In.

Zustand: New. In.

Hardcover. Zustand: Brand New. 331 pages. 9.21x6.14x1.02 inches. In Stock.

Hardcover. Zustand: Brand New. 494 pages. 9.25x6.25x1.25 inches. In Stock.

Zustand: New. Inhaltsverzeichnisrnrnn Chapter 1: Introduction to big data recommender systems - volume 1n Chapter 2: Theoretical foundations for recommender systemsn Chapter 3: Benchmarking big data recommendation algorithms using Ha.

Zustand: New. pp. 190.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 520 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 368 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Zustand: New. Inhaltsverzeichnisrnrnn Chapter 1: Introduction to big data recommender systems - volume 2n Chapter 2: Deep neural networks meet recommender systemsn Chapter 3: Cold-start solutions for recommendation systemsn .

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 520 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Buch. Zustand: Neu. Neuware - First designed to generate personalized recommendations to users in the 90s, recommender systems apply knowledge discovery techniques to users' data to suggest information, products, and services that best match their preferences. In recent decades, we have seen an exponential increase in the volumes of data, which has introduced many new challenges. Divided into two volumes, this comprehensive set covers recent advances, challenges, novel solutions, and applications in big data recommender systems. Volume 1 contains 14 chapters addressing foundations, algorithms and architectures, approaches for big data, and trust and security measures. Volume 2 covers a broad range of application paradigms for recommender systems over 22 chapters.…

Zustand: New. In.

Buch. Zustand: Neu. Neuware - First designed to generate personalized recommendations to users in the 90s, recommender systems apply knowledge discovery techniques to users' data to suggest information, products, and services that best match their preferences. In recent decades, we have seen an exponential increase in the volumes of data, which has introduced many new challenges. Divided into two volumes, this comprehensive set covers recent advances, challenges, novel solutions, and applications in big data recommender systems. Volume 2 covers a broad range of application paradigms for recommender systems over 22 chapters. Volume 1 contains 14 chapters addressing foundations, algorithms and architectures, approaches for big data, and trust and security measures.…

Hardcover. Zustand: Brand New. 176 pages. 9.25x6.00x0.75 inches. In Stock.