Machine Learning Hybridization Optimization (23 results)
- Softcover
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- Softcover
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- Softcover
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Machine Learning Hybridization And Optimization For Intelligent Applications
Sardar, Tanvir Habib (Editor)/ Pandey, Bishwajeet Kumar (Editor)
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 338 pages. 6.14x0.76x9.21 inches. In Stock.
- Softcover
Seller: moluna, Greven, Germanymoluna
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Condition: New. Tanvir Habib Sardar is an Assistant Professor in the department of CSE at GITAM University, Bengaluru campus. He has more than fifteen years of experience in industry and academia. His research domain is big data, machine learning, fuzzy logic, and distr.
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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US$ 141.23
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Taschenbuch. Condition: Neu. Neuware - This book discusses state-of-the-art reviews of the existing machine learning techniques and algorithms including hybridizations and optimizations. It covers applications of machine learning via artificial intelligence (AI) prediction tools, discovery of drugs, neuroscience, diagnosis in mu…ltiple imaging modalities, pattern recognition approaches to functional magnetic resonance imaging, image and speech recognition, automatic language translation, medical diagnostic, stock market prediction, traffic prediction, and product automation.Features: - Focuses on hybridization and optimization of machine learning techniques - Reviews supervised, unsupervised, and reinforcement learning using case study-based applications - Covers the latest machine learning applications in as diverse domains as the Internet of Things, data science, cloud computing, and distributed and parallel computing - Explains computing models using real-world examples and dataset-based experiments - Includes case study-based explanations and usage for machine learning technologies and applications This book is aimed at graduate students and researchers in machine learning, artificial intelligence, and electrical engineering.
- Hardcover
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- Hardcover
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- Hardcover
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- Hardcover
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- Hardcover
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- Hardcover
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Condition: New. 1st edition NO-PA16APR2015-KAP.
- Hardcover
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Condition: New. In.
Machine Learning Hybridization and Optimization for Intelligent Applications
Sardar, Tanvir Habib (Editor)/ Pandey, Bishwajeet Kumar (Editor)
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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US$ 320.69
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Hardcover. Condition: Brand New. 384 pages. 9.18x6.12x9.21 inches. In Stock.
- Softcover
- Print on Demand
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
- Softcover
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Seller: CitiRetail, Stevenage, United KingdomCitiRetail
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Paperback. Condition: new. Paperback. This book discusses state-of-the-art reviews of the existing machine learning techniques and algorithms including hybridizations and optimizations. It covers applications of machine learning via artificial intelligence (AI) prediction tools, discovery of drugs, neuroscience, diagnosis in mul…tiple imaging modalities, pattern recognition approaches to functional magnetic resonance imaging, image and speech recognition, automatic language translation, medical diagnostic, stock market prediction, traffic prediction, and product automation.Features:Focuses on hybridization and optimization of machine learning techniquesReviews supervised, unsupervised, and reinforcement learning using case study-based applicationsCovers the latest machine learning applications in as diverse domains as the Internet of Things, data science, cloud computing, and distributed and parallel computingExplains computing models using real-world examples and dataset-based experimentsIncludes case study-based explanations and usage for machine learning technologies and applicationsThis book is aimed at graduate students and researchers in machine learning, artificial intelligence, and electrical engineering. This book discusses state-of-the-art reviews of the existing machine-learning techniques and algorithms including hybridizations and optimizations. It is aimed at graduate students and researchers in machine learning, artificial intelligence, and electrical engineering. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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US$ 197.15
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Tanvir Habib Sardar is an Assistant Professor in the department of CSE at GITAM University, Bengaluru campus. He has more than fifteen years of experience in industry and academia. His research domain is big data, mac…hine learning, fuzzy logic, and distr.
- Hardcover
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Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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HRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
- Hardcover
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
- Hardcover
- Print on Demand
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Condition: New. PRINT ON DEMAND.
More images- Hardcover
- Print on Demand
Seller: preigu, Osnabrück, Germanypreigu
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US$ 262.05
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Buch. Condition: Neu. Machine Learning Hybridization and Optimization for Intelligent Applications | Tanvir Habib Sardar (u. a.) | Buch | Englisch | 2024 | CRC Press | EAN 9781032737539 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
- Hardcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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US$ 313.21
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book discusses state-of-the-art reviews of the existing machine-learning techniques and algorithms including hybridizations and optimizations. It is aimed at graduate students and researchers in machine learning, artificial intelligence, a…nd electrical engineering.
