Machine learning techniques have become ubiquitous. We find them in our smart phones/watches, appliances, when we search the web, social networks and are even becoming mainstream in showing us personalized web content. However, little is known about the implications when two or more machine learning algorithms face each other. This textbook offers a comprehensive view of the problems faced when such algorithms share the same environment and some proposed solutions to alleviate such problems.
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Enrique Munoz de Cote is a computer scientist at the Institute of Astrophysics, Optics and Electronics, Mexico. His research connects computer science and economic theory through machine learning and game theory. He has received different awards and is a member of the board of directors of the Association for Trading Agent Research (ATAR).
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machine learning techniques have become ubiquitous. We find them in our smart phones/watches, appliances, when we search the web, social networks and are even becoming mainstream in showing us personalized web content. However, little is known about the implications when two or more machine learning algorithms face each other. This textbook offers a comprehensive view of the problems faced when such algorithms share the same environment and some proposed solutions to alleviate such problems. 164 pp. Englisch. N° de réf. du vendeur 9783639763676
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Munoz de Cote EnriqueEnrique Munoz de Cote is a computer scientist at the Institute of Astrophysics, Optics and Electronics, Mexico. His research connects computer science and economic theory through machine learning and game theory. N° de réf. du vendeur 151400995
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Taschenbuch. Etat : Neu. Socially Driven Multiagent Learning | Social Outcomes and Strategies Impelled by Self-interests | Enrique Munoz De Cote | Taschenbuch | 164 S. | Englisch | 2015 | Scholars' Press | EAN 9783639763676 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 104120257
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Machine learning techniques have become ubiquitous. We find them in our smart phones/watches, appliances, when we search the web, social networks and are even becoming mainstream in showing us personalized web content. However, little is known about the implications when two or more machine learning algorithms face each other. This textbook offers a comprehensive view of the problems faced when such algorithms share the same environment and some proposed solutions to alleviate such problems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 164 pp. Englisch. N° de réf. du vendeur 9783639763676
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine learning techniques have become ubiquitous. We find them in our smart phones/watches, appliances, when we search the web, social networks and are even becoming mainstream in showing us personalized web content. However, little is known about the implications when two or more machine learning algorithms face each other. This textbook offers a comprehensive view of the problems faced when such algorithms share the same environment and some proposed solutions to alleviate such problems. N° de réf. du vendeur 9783639763676
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