Da: suffolkbooks, Center moriches, NY, U.S.A.
paperback. Condizione: Very Good. Fast Shipping - Safe and Secure 7 days a week!
Soft cover. Condizione: New. US SELLER SHIPS FROM USA.
Da: HPB-Red, Dallas, TX, U.S.A.
paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Da: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Germania
EUR 21,00
Quantità: 2 disponibili
Aggiungi al carrelloXII, 360 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Studies in Computational Intelligence, 865. Sprache: Englisch.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 53,14
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 53,14
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 61,88
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Aggiungi al carrelloCondizione: New. In English.
EUR 60,19
Quantità: 10 disponibili
Aggiungi al carrelloPF. Condizione: New.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Da: Book Dispensary, Concord, ON, Canada
EUR 75,28
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Very Good. VERY GOOD hardcover, no marks in text, very clean exterior, appears unread. Book.
Condizione: New. 1st edition NO-PA16APR2015-KAP.
Condizione: New.
Condizione: New.
Condizione: New.
Da: Majestic Books, Hounslow, Regno Unito
EUR 86,55
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
EUR 82,67
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 122 pages. 9.25x7.51x0.26 inches. In Stock.
Condizione: New.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 87,77
Quantità: 1 disponibili
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 89,41
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 105,43
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207487907 ISBN 13: 9786207487905
Lingua: Inglese
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Editore: LAP LAMBERT Academic Publishing, 2025
ISBN 10: 6208452929 ISBN 13: 9786208452926
Lingua: Inglese
Da: preigu, Osnabrück, Germania
EUR 37,45
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. NOVEL DEEP LEARNING ALGORITHMS FOR ANALYSING OF CRYPTOCURRENCY | APPLICATIONS OF NOVEL DEEP LEARNING ALGORITHMS FOR ANALYSING OF CRYPTOCURRENCY | Ganesh Davanam (u. a.) | Taschenbuch | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208452926 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 93,21
Quantità: 2 disponibili
Aggiungi al carrelloCondizione: New.
Condizione: As New. Unread book in perfect condition.
Condizione: New. pp. 270.
Editore: Springer International Publishing, 2021
ISBN 10: 3031037480 ISBN 13: 9783031037481
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 58,84
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces basic machine learning concepts and applications for a broad audience that includes students, faculty, and industry practitioners. We begin by describing how machine learning provides capabilities to computers and embedded systems to learn from data. A typical machine learning algorithm involves training, and generally the performance of a machine learning model improves with more training data. Deep learning is a sub-area of machine learning that involves extensive use of layers of artificial neural networks typically trained on massive amounts of data. Machine and deep learning methods are often used in contemporary data science tasks to address the growing data sets and detect, cluster, and classify data patterns. Although machine learning commercial interest has grown relatively recently, the roots of machine learning go back to decades ago. We note that nearly all organizations, including industry, government, defense, and health, are using machine learning toaddress a variety of needs and applications. The machine learning paradigms presented can be broadly divided into the following three categories: supervised learning, unsupervised learning, and semi-supervised learning. Supervised learning algorithms focus on learning a mapping function, and they are trained with supervision on labeled data. Supervised learning is further sub-divided into classification and regression algorithms. Unsupervised learning typically does not have access to ground truth, and often the goal is to learn or uncover the hidden pattern in the data. Through semi-supervised learning, one can effectively utilize a large volume of unlabeled data and a limited amount of labeled data to improve machine learning model performances. Deep learning and neural networks are also covered in this book. Deep neural networks have attracted a lot of interest during the last ten years due to the availability of graphics processing units (GPU) computational power, big data, and new software platforms. They have strong capabilities in terms of learning complex mapping functions for different types of data. We organize the book as follows. The book starts by introducing concepts in supervised, unsupervised, and semi-supervised learning. Several algorithms and their inner workings are presented within these three categories. We then continue with a brief introduction to artificial neural network algorithms and their properties. In addition, we cover an array of applications and provide extensive bibliography. The book ends with a summary of the key machine learning concepts.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 106,18
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.