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[null,"1.","Record Nr.",null,"UNINA9910260625403321"]
[null,null,"Autore",null,"Alpaydin Ethem"]
[null,null,"Titolo",null,"Machine learning : the new AI / / EthemAlpaydin"]
[null,null,"Pubbl/distr/stampa",null,"Cambridge, Massachusetts : , : The MIT Press, , [2016]"]
[{"$nulls":4},"[Piscataqay, New Jersey] : , : IEEE Xplore, , [2016]"]
[null,null,"ISBN",null,"0-262-33760-6"]
[null,null,"Descrizione fisica",null,"1 online resource (225 pages) : illustrations"]
[null,null,"Collana",null,"The mit press essential knowledge series"]
[{"$nulls":4},"MIT Press essential knowledge series"]
[null,null,"Disciplina",null,"006.31"]
[null,null,"Soggetti",null,"Machine learning"]
[{"$nulls":4},"Artificial intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Why we are interested in machine learning -- Machine learning, statistics and data analytics -- Pattern recognition -- Neural networks and deep learning -- Learning clusters and recommendations -- Learning to take actions -- Where do we go from here?"]
[null,null,null,"Sommario/riassunto","Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition -- as well as some we don't yet use everyday, including driverless cars. It is the basis of the new approach in computing where we do not write programs but collect data; the idea is to learn the algorithms for the tasks automatically from data. As computing devices grow more ubiquitous, a larger part of our lives and work is recorded digitally, and as \"Big Data\" has gotten bigger, the theory of machine learning -- the foundation of efforts to process that data into knowledge -- has also advanced. In this book, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general reader, describing its evolution, explaining important learning algorithms, and presenting example applications.Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context. He describes the basics of machine learning and some applications; the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances, with such applications as customer segmentation and learning recommendations; and reinforcement "]
[{"$nulls":4},"learning, when an autonomous agent learns act so as to maximize reward and minimize penalty. Alpaydin then considers some future directions for machine learning and the new field of \"data science,\" and discusses the ethical and legal implications for data privacy and security."]