Textbook Machine Learning Data by Mamitsuka Hiroshi (11 results)
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Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
Seller: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
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paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: New. Print on Demand pp. 388.
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Seller: moluna, Greven, Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnData-driven approaches, particularly machine learning and data mining, are the main driving force of the current artificial intelligence technology. This book covers a wide variety of methods in machine… learning and data mining, d.
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Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Condition: New. Print on Demand pp. 388.
- Softcover
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Condition: New. PRINT ON DEMAND pp. 388.
- Softcover
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Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Textbook of Machine Learning and Data Mining | with Bioinformatics Applications | Hiroshi Mamitsuka | Taschenbuch | Kartoniert / Broschiert | Englisch | 2018 | Global Data Science Publishing | EAN 9784991044502 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[a…t]libri[dot]de | Anbieter: preigu Print on Demand.
- Softcover
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data-driven approaches, particularly machine learning and data mining, are the main driving force of the current artificial intelligence technology. This book covers a wide variety of methods in machine learning and data mining, dividing… them from a viewpoint of data types, which begin with rather simple vectors and end by graphs and also combination of different data types. This book describes standard techniques of machine learning and data mining for each data type, especially focusing on the relevance and difference among them. Also after explaining a series of machine learning methods for seven different data types, this book has a chapter for standard validation methods on empirical results obtained by applying machine learning methods to data. This book can be used for a variety of objectives, including an introductory textbook of studying machine learning and a (first step) book to start machine learning research, etc.
