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Ajouter au panierHRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
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Ajouter au panierEtat : new.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Ajouter au panierEtat : New.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Ajouter au panierEtat : New.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 222,02
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : moluna, Greven, Allemagne
EUR 216,78
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Ajouter au panierGebunden. Etat : New. Uma N. Dulhare is a Professor in the Department of Computer Science & Eng., MJCET affiliated to Osmania University, Hyderabad, India. She has more than 20 years teaching experience years with many publications in reputed international conferences, journals .
Vendeur : Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlande
Edition originale
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Ajouter au panierEtat : New. 2020. 1st Edition. Hardback. . . . . .
Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Ajouter au panierEtat : New.
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Ajouter au panierEtat : New.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 297,74
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Ajouter au panierHardcover. Etat : Brand New. 512 pages. 9.00x6.00x1.25 inches. In Stock.
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
EUR 323,42
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Ajouter au panierEtat : New. 2020. 1st Edition. Hardback. . . . . . Books ship from the US and Ireland.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 303,60
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Ajouter au panierBuch. Etat : Neu. Neuware - This book is intended for academic and industrial developers, exploring and developing applications in the area of big data and machine learning, including those that are solving technology requirements, evaluation of methodology advances and algorithm demonstrations.The intent of this book is to provide awareness of algorithms used for machine learning and big data in the academic and professional community. The 17 chapters are divided into 5 sections: Theoretical Fundamentals; Big Data and Pattern Recognition; Machine Learning: Algorithms & Applications; Machine Learning's Next Frontier and Hands-On and Case Study. While it dwells on the foundations of machine learning and big data as a part of analytics, it also focuses on contemporary topics for research and development. In this regard, the book covers machine learning algorithms and their modern applications in developing automated systems.Subjects covered in detail include:\* Mathematical foundations of machine learning with various examples.\* An empirical study of supervised learning algorithms like Naïve Bayes, KNN and semi-supervised learning algorithms viz. S3VM, Graph-Based, Multiview.\* Precise study on unsupervised learning algorithms like GMM, K-mean clustering, Dritchlet process mixture model, X-means and Reinforcement learning algorithm with Q learning, R learning, TD learning, SARSA Learning, and so forth.\* Hands-on machine leaning open source tools viz. Apache Mahout, H2O.\* Case studies for readers to analyze the prescribed cases and present their solutions or interpretations with intrusion detection in MANETS using machine learning.\* Showcase on novel user-cases: Implications of Electronic Governance as well as Pragmatic Study of BD/ML technologies for agriculture, healthcare, social media, industry, banking, insurance and so on.
Langue: anglais
Edité par John Wiley & Sons Inc, New York, 2020
ISBN 10 : 1119654742 ISBN 13 : 9781119654742
Vendeur : CitiRetail, Stevenage, Royaume-Uni
EUR 254,35
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Ajouter au panierHardcover. Etat : new. Hardcover. This book is intended for academic and industrial developers, exploring and developing applications in the area of big data and machine learning, including those that are solving technology requirements, evaluation of methodology advances and algorithm demonstrations. The intent of this book is to provide awareness of algorithms used for machine learning and big data in the academic and professional community. The 17 chapters are divided into 5 sections: Theoretical Fundamentals; Big Data and Pattern Recognition; Machine Learning: Algorithms & Applications; Machine Learning's Next Frontier and Hands-On and Case Study. While it dwells on the foundations of machine learning and big data as a part of analytics, it also focuses on contemporary topics for research and development. In this regard, the book covers machine learning algorithms and their modern applications in developing automated systems. Subjects covered in detail include: Mathematical foundations of machine learning with various examples.An empirical study of supervised learning algorithms like Naive Bayes, KNN and semi-supervised learning algorithms viz. S3VM, Graph-Based, Multiview.Precise study on unsupervised learning algorithms like GMM, K-mean clustering, Dritchlet process mixture model, X-means and Reinforcement learning algorithm with Q learning, R learning, TD learning, SARSA Learning, and so forth.Hands-on machine leaning open source tools viz. Apache Mahout, H2O.Case studies for readers to analyze the prescribed cases and present their solutions or interpretations with intrusion detection in MANETS using machine learning.Showcase on novel user-cases: Implications of Electronic Governance as well as Pragmatic Study of BD/ML technologies for agriculture, healthcare, social media, industry, banking, insurance and so on. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 291,92
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Ajouter au panierHardcover. Etat : Brand New. 512 pages. 9.00x6.00x1.25 inches. In Stock. This item is printed on demand.