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Evaluation du vendeur
Edité par Springer, 2015
ISBN 10 : 148997640XISBN 13 : 9781489976406
Vendeur : SecondSale, Montgomery, IL, Etats-Unis
Livre
Etat : Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Edité par Springer, 2015
ISBN 10 : 148997640XISBN 13 : 9781489976406
Vendeur : GF Books, Inc., Hawthorne, CA, Etats-Unis
Livre
Etat : Good. Book is in Used-Good condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain limited notes and highlighting.
Edité par Springer, 2015
ISBN 10 : 148997640XISBN 13 : 9781489976406
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Livre
Etat : New.
Edité par Springer, 2015
ISBN 10 : 148997640XISBN 13 : 9781489976406
Vendeur : booksXpress, Bayonne, NJ, Etats-Unis
Livre
Hardcover. Etat : new.
Edité par Springer, 2015
ISBN 10 : 148997640XISBN 13 : 9781489976406
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Livre impression à la demande
Etat : New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Edité par Springer, 2015
ISBN 10 : 148997640XISBN 13 : 9781489976406
Vendeur : GF Books, Inc., Hawthorne, CA, Etats-Unis
Livre
Etat : New. Book is in NEW condition.
Edité par Springer, 2015
ISBN 10 : 148997640XISBN 13 : 9781489976406
Vendeur : GF Books, Inc., Hawthorne, CA, Etats-Unis
Livre
Etat : Fine. Book is in Used-LikeNew condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear.
Edité par Springer, 2015
ISBN 10 : 148997640XISBN 13 : 9781489976406
Vendeur : GreatBookPricesUK, Castle Donington, DERBY, Royaume-Uni
Livre
Etat : New.
Edité par Springer, 2015
ISBN 10 : 148997640XISBN 13 : 9781489976406
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
Livre
Etat : New.
Edité par Springer, 2015
ISBN 10 : 148997640XISBN 13 : 9781489976406
Vendeur : Books Puddle, New York, NY, Etats-Unis
Livre
Etat : New. pp. 358.
Edité par Springer US Okt 2015, 2015
ISBN 10 : 148997640XISBN 13 : 9781489976406
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Livre impression à la demande
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents machine learning models and algorithms to address big data classification problems. Existing machine learning techniques like the decision tree (a hierarchical approach), random forest (an ensemble hierarchical approach), and deep learning (a layered approach) are highly suitable for the system that can handle such problems. This book helps readers, especially students and newcomers to the field of big data and machine learning, to gain a quick understanding of the techniques and technologies; therefore, the theory, examples, and programs (Matlab and R) presented in this book have been simplified, hardcoded, repeated, or spaced for improvements. They provide vehicles to test and understand the complicated concepts of various topics in the field. It is expected that the readers adopt these programs to experiment with the examples, and then modify or write their own programs toward advancing their knowledge for solving more complex and challenging problems. The presentation format of this book focuses on simplicity, readability, and dependability so that both undergraduate and graduate students as well as new researchers, developers, and practitioners in this field can easily trust and grasp the concepts, and learn them effectively. It has been written to reduce the mathematical complexity and help the vast majority of readers to understand the topics and get interested in the field. This book consists of four parts, with the total of 14 chapters. The first part mainly focuses on the topics that are needed to help analyze and understand data and big data. The second part covers the topics that can explain the systems required for processing big data. The third part presents the topics required to understand and select machine learning techniques to classify big data. Finally, the fourth part concentrates on the topics that explain the scaling-up machine learning, an important solution for modern big data problems. 380 pp. Englisch.
Edité par Springer US, 2015
ISBN 10 : 148997640XISBN 13 : 9781489976406
Vendeur : moluna, Greven, Allemagne
Livre impression à la demande
Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Addresses a new and hot field of Big Data Science and Engineering Offers new Machine Learning techniques and solutions Provides solutions to overcome Big Data classification problems that industries, government agencies and organizations st.
Edité par Springer, 2015
ISBN 10 : 148997640XISBN 13 : 9781489976406
Vendeur : Book Deals, Tucson, AZ, Etats-Unis
Livre
Etat : New. New! This book is in the same immaculate condition as when it was published.
Edité par Springer US, 2015
ISBN 10 : 148997640XISBN 13 : 9781489976406
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Livre
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents machine learning models and algorithms to address big data classification problems. Existing machine learning techniques like the decision tree (a hierarchical approach), random forest (an ensemble hierarchical approach), and deep learning (a layered approach) are highly suitable for the system that can handle such problems. This book helps readers, especially students and newcomers to the field of big data and machine learning, to gain a quick understanding of the techniques and technologies; therefore, the theory, examples, and programs (Matlab and R) presented in this book have been simplified, hardcoded, repeated, or spaced for improvements. They provide vehicles to test and understand the complicated concepts of various topics in the field. It is expected that the readers adopt these programs to experiment with the examples, and then modify or write their own programs toward advancing their knowledge for solving more complex and challenging problems. The presentation format of this book focuses on simplicity, readability, and dependability so that both undergraduate and graduate students as well as new researchers, developers, and practitioners in this field can easily trust and grasp the concepts, and learn them effectively. It has been written to reduce the mathematical complexity and help the vast majority of readers to understand the topics and get interested in the field. This book consists of four parts, with the total of 14 chapters. The first part mainly focuses on the topics that are needed to help analyze and understand data and big data. The second part covers the topics that can explain the systems required for processing big data. The third part presents the topics required to understand and select machine learning techniques to classify big data. Finally, the fourth part concentrates on the topics that explain the scaling-up machine learning, an important solution for modern big data problems.
Edité par Springer, 2015
ISBN 10 : 148997640XISBN 13 : 9781489976406
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Livre
Etat : New. pp. 358.
Edité par Springer, 2015
ISBN 10 : 148997640XISBN 13 : 9781489976406
Vendeur : GoldBooks, Denver, CO, Etats-Unis
Livre
Hardcover. Etat : very good. Very Good Copy. Customer Service Guaranteed.
Edité par Springer, 2015
ISBN 10 : 148997640XISBN 13 : 9781489976406
Vendeur : California Books, Miami, FL, Etats-Unis
Livre
Etat : New.
Edité par Springer, 2015
ISBN 10 : 148997640XISBN 13 : 9781489976406
Vendeur : GreatBookPricesUK, Castle Donington, DERBY, Royaume-Uni
Livre
Etat : As New. Unread book in perfect condition.
Edité par Springer, 2015
ISBN 10 : 148997640XISBN 13 : 9781489976406
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
Livre
Hardcover. Etat : Like New. Like New. book.
Edité par Springer, 2015
ISBN 10 : 148997640XISBN 13 : 9781489976406
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
Livre
Etat : As New. Unread book in perfect condition.
Edité par Springer, 2015
ISBN 10 : 148997640XISBN 13 : 9781489976406
Vendeur : GoldenWavesOfBooks, Fayetteville, TX, Etats-Unis
Livre
Hardcover. Etat : new. New. Fast Shipping and good customer service.
Edité par Springer, 2015
ISBN 10 : 148997640XISBN 13 : 9781489976406
Vendeur : Wizard Books, Long Beach, CA, Etats-Unis
Livre
Hardcover. Etat : new. New.
Edité par Springer, 2015
ISBN 10 : 148997640XISBN 13 : 9781489976406
Vendeur : Front Cover Books, Denver, CO, Etats-Unis
Livre
Etat : new.
Edité par Springer, 2015
ISBN 10 : 148997640XISBN 13 : 9781489976406
Vendeur : GoldBooks, Denver, CO, Etats-Unis
Livre
Hardcover. Etat : new. New Copy. Customer Service Guaranteed.