Aydin Kemal (39 results)

Paperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Condition: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

paperback. Condition: Good. Most items will be dispatched the same or the next working day. A copy that has been read but remains in clean condition. All of the pages are intact and the cover is intact and the spine may show signs of wear. The book may have minor markings which are not specifically mentioned.…

Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,350grams, ISBN:9780863566745.

Paperback. Condition: Brand New. 256 pages. 8.50x5.40x5.40 inches. In Stock.

Paperback. Condition: New.

Soft cover. Condition: New. Paperback. Pbo. 4to. (32 x 21 cm). Title is in English and Turkish; texts in Turkish. 288 p., color and b/w ills. The revolutionary years of Turkish contemporary art: 80's.= Türk çagdas sanatinin devrim yillari: 80'ler. [Exhibition catalogue]. 5 Kasim 2014 - 11 Ocak 2015. Coordination by Öykü Eras. …

Hardcover. Condition: New. As New. Pages are clean and unmarked. Boards are clean and square. Binding is tight. Text block is clean.

Hardcover. Condition: Very Good. BAS, BULENT - AYDIN AYAN - KEMAL ISKENDER (Texts by) Yolu Trabzon'dan gecen sanatcilar. [Exhibition catalogue]. 13-28 Subat 2013, Besiktas Cagdas. Istanbul: Trabzon Arastirmalari Merkezi Vakfi, 2013. 4to., 279 p., color and b/w ills. In Turkish. Original binding. Dust wrapper. Very good ISBN: 9789757871354 CATALOG: Painting & Sculpture KEYWORDS: Turkish painting History of art Sculpture Trebizond - Trabzon. …

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New.

Paperback. Condition: New. This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how with the proliferation of massive amounts of unlabeled data, unsupervised learning algorithms, which can automatically discover interesting and useful patterns in such data, have gained popularity among researchers and practitioners. The authors outline how these algorithms have found numerous applications including pattern recognition, market basket analysis, web mining, social network analysis, information retrieval, recommender systems, market research, intrusion detection, and fraud detection. They present how the difficulty of developing theoretically sound approaches that are amenable to objective evaluation have resulted in the proposal of numerous unsupervised learning algorithms over the past half-century. The intended audience includes researchers and practitioners who are increasingly using unsupervised learning algorithms to analyze their data. Topics of interest includeanomaly detection, clustering, feature extraction, and applications of unsupervised learning. Each chapter is contributed by a leading expert in the field. Softcover reprint of the original 1st ed. 2016. …

Paperback. Condition: New.

Condition: fine. l'article peut presenter de tres legers signes d'usure, petites rayures ou imperfections esthetiques. vendeur professionnel; envoi soigne en 24/48h.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how withthe proliferation of massive amounts of unlabeled data, unsupervised learning algorithms, which can automatically discover interesting and useful patterns in such data, have gained popularity among researchers and practitioners. The authors outline how these algorithms have found numerous applications including pattern recognition, market basket analysis, web mining, social network analysis, information retrieval, recommender systems, market research, intrusion detection, and fraud detection. They present how the difficulty of developing theoretically sound approaches that are amenable to objective evaluation have resulted in the proposal of numerous unsupervised learning algorithms over the past half-century. The intended audience includes researchers and practitioners who are increasingly using unsupervised learning algorithms to analyze their data. Topics of interest includeanomaly detection, clustering, feature extraction, and applications of unsupervised learning. Each chapter is contributed by a leading expert in the field.…

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how withthe proliferation of massive amounts of unlabeled data, unsupervised learning algorithms, which can automatically discover interesting and useful patterns in such data, have gained popularity among researchers and practitioners. The authors outline how these algorithms have found numerous applications including pattern recognition, market basket analysis, web mining, social network analysis, information retrieval, recommender systems, market research, intrusion detection, and fraud detection. They present how the difficulty of developing theoretically sound approaches that are amenable to objective evaluation have resulted in the proposal of numerous unsupervised learning algorithms over the past half-century. The intended audience includes researchers and practitioners who are increasingly using unsupervised learning algorithms to analyze their data. Topics of interest includeanomaly detection, clustering, feature extraction, and applications of unsupervised learning. Each chapter is contributed by a leading expert in the field.…

Taschenbuch. Condition: Neu. Unsupervised Learning Algorithms | M. Emre Celebi (u. a.) | Taschenbuch | x | Englisch | 2018 | Springer | EAN 9783319795904 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Condition: New. pp. 558.

Condition: New. pp. 290.

Hardcover. Condition: Brand New. 558 pages. French language. 9.50x6.50x1.50 inches. In Stock.

Paperback. Condition: New. This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how with the proliferation of massive amounts of unlabeled data, unsupervised learning algorithms, which can automatically discover interesting and useful patterns in such data, have gained popularity among researchers and practitioners. The authors outline how these algorithms have found numerous applications including pattern recognition, market basket analysis, web mining, social network analysis, information retrieval, recommender systems, market research, intrusion detection, and fraud detection. They present how the difficulty of developing theoretically sound approaches that are amenable to objective evaluation have resulted in the proposal of numerous unsupervised learning algorithms over the past half-century. The intended audience includes researchers and practitioners who are increasingly using unsupervised learning algorithms to analyze their data. Topics of interest includeanomaly detection, clustering, feature extraction, and applications of unsupervised learning. Each chapter is contributed by a leading expert in the field. Softcover reprint of the original 1st ed. 2016. …

Condition: New. Editors: Ergiydiren, Özcan; Aren, Kemal Y.; Yüksel, I. Aydin Translator: 354 pages.

Paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condition: As New. Unread book in perfect condition.

Condition: new. Questo è un articolo print on demand.

PF. Condition: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how withthe proliferation of massive amounts of unlabeled data, unsupervised learning algorithms, which can automatically discover interesting and useful patterns in such data, have gained popularity among researchers and practitioners. The authors outline how these algorithms have found numerous applications including pattern recognition, market basket analysis, web mining, social network analysis, information retrieval, recommender systems, market research, intrusion detection, and fraud detection. They present how the difficulty of developing theoretically sound approaches that are amenable to objective evaluation have resulted in the proposal of numerous unsupervised learning algorithms over the past half-century. The intended audience includes researchers and practitioners who are increasingly using unsupervised learning algorithms to analyze their data. Topics of interest includeanomaly detection, clustering, feature extraction, and applications of unsupervised learning. Each chapter is contributed by a leading expert in the field. 568 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how withthe proliferation of massive amounts of unlabeled data, unsupervised learning algorithms, which can automatically discover interesting and useful patterns in such data, have gained popularity among researchers and practitioners. The authors outline how these algorithms have found numerous applications including pattern recognition, market basket analysis, web mining, social network analysis, information retrieval, recommender systems, market research, intrusion detection, and fraud detection. They present how the difficulty of developing theoretically sound approaches that are amenable to objective evaluation have resulted in the proposal of numerous unsupervised learning algorithms over the past half-century. The intended audience includes researchers and practitioners who are increasingly using unsupervised learning algorithms to analyze their data. Topics of interest includeanomaly detection, clustering, feature extraction, and applications of unsupervised learning. Each chapter is contributed by a leading expert in the field. 568 pp. Englisch.…