Items related to Extreme Gradient Boosting for Data Mining Applications
Synopsis
Prediction models have reached to a stage where a single model is not sufficient to make predictions. Hence, to achieve better accuracy and performance, an ensemble of various models are being used. Gradient Boosting Algorithm has almost been the part of all ensembles. Winners of Kaggle Competition are swearing by this. Extreme Gradient Boosting is a step forward to this where we try to optimise the loss function. In this research work Squared Logistic Loss function is used with Boosting function which is expected to reduce bias and variance. The proposed model is applied on stock market data for the past ten years. Squared Logistic Loss function with XGBoost promises to be an effective approach in terms of accuracy and better prediction.
"synopsis" may belong to another edition of this title.
Buy New
View this item
£ 32.02
£ 9.52 shipping from Germany to United Kingdom
Destination, rates & speedsSearch results for Extreme Gradient Boosting for Data Mining Applications
Seller Image
Extreme Gradient Boosting for Data Mining Applications
Published by
LAP LAMBERT Academic Publishing Mrz 2018, 2018
ISBN 10: 6138236122
ISBN 13: 9786138236122
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Prediction models have reached to a stage where a single model is not sufficient to make predictions. Hence, to achieve better accuracy and performance, an ensemble of various models are being used. Gradient Boosting Algorithm has almost been the part of all ensembles. Winners of Kaggle Competition are swearing by this. Extreme Gradient Boosting is a step forward to this where we try to optimise the loss function. In this research work Squared Logistic Loss function is used with Boosting function which is expected to reduce bias and variance. The proposed model is applied on stock market data for the past ten years. Squared Logistic Loss function with XGBoost promises to be an effective approach in terms of accuracy and better prediction. 64 pp. Englisch. Seller Inventory # 9786138236122
Quantity: 2 available
Stock Image
Extreme Gradient Boosting for Data Mining Applications
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6138236122
ISBN 13: 9786138236122
New
Softcover
Seller: Zubal-Books, Since 1961, Cleveland, OH, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. *Price HAS BEEN REDUCED by 10% until Monday, Aug. 11 (weekend SALE item)* 64 pp., paperback, new. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Seller Inventory # ZB1315164
Quantity: 1 available
Seller Image
Extreme Gradient Boosting for Data Mining Applications
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6138236122
ISBN 13: 9786138236122
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Prediction models have reached to a stage where a single model is not sufficient to make predictions. Hence, to achieve better accuracy and performance, an ensemble of various models are being used. Gradient Boosting Algorithm has almost been the part of all ensembles. Winners of Kaggle Competition are swearing by this. Extreme Gradient Boosting is a step forward to this where we try to optimise the loss function. In this research work Squared Logistic Loss function is used with Boosting function which is expected to reduce bias and variance. The proposed model is applied on stock market data for the past ten years. Squared Logistic Loss function with XGBoost promises to be an effective approach in terms of accuracy and better prediction. Seller Inventory # 9786138236122
Quantity: 1 available
Stock Image
Extreme Gradient Boosting for Data Mining Applications
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6138236122
ISBN 13: 9786138236122
New
Softcover
Seller: Majestic Books, Hounslow, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. Print on Demand. Seller Inventory # 401681646
Quantity: 4 available
Seller Image
Extreme Gradient Boosting for Data Mining Applications
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6138236122
ISBN 13: 9786138236122
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sharma NonitaNonita Sharma is currently working as an Assistant Professor in the Department of Computer Science & Engineering, Dr. B. R. Ambedkar National Institute of Technology Jalandhar. Her research interests include Wireless Sen. Seller Inventory # 385846583
Quantity: Over 20 available
Stock Image
Extreme Gradient Boosting for Data Mining Applications
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6138236122
ISBN 13: 9786138236122
New
Softcover
Seller: Books Puddle, New York, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. Seller Inventory # 26394695473
Quantity: 4 available
Stock Image
Extreme Gradient Boosting for Data Mining Applications
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6138236122
ISBN 13: 9786138236122
New
Softcover
Seller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 5 out of 5 stars
Condition: New. PRINT ON DEMAND. Seller Inventory # 18394695483
Quantity: 4 available
Stock Image
Extreme Gradient Boosting for Data Mining Applications
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6138236122
ISBN 13: 9786138236122
New
Paperback
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. 64 pages. 8.66x5.91x0.15 inches. In Stock. Seller Inventory # zk6138236122
Quantity: 1 available
Seller Image
Extreme Gradient Boosting for Data Mining Applications
Published by
LAP LAMBERT Academic Publishing Mär 2018, 2018
ISBN 10: 6138236122
ISBN 13: 9786138236122
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -Prediction models have reached to a stage where a single model is not sufficient to make predictions. Hence, to achieve better accuracy and performance, an ensemble of various models are being used. Gradient Boosting Algorithm has almost been the part of all ensembles. Winners of Kaggle Competition are swearing by this. Extreme Gradient Boosting is a step forward to this where we try to optimise the loss function. In this research work Squared Logistic Loss function is used with Boosting function which is expected to reduce bias and variance. The proposed model is applied on stock market data for the past ten years. Squared Logistic Loss function with XGBoost promises to be an effective approach in terms of accuracy and better prediction.Books on Demand GmbH, Überseering 33, 22297 Hamburg 64 pp. Englisch. Seller Inventory # 9786138236122
Quantity: 2 available