Add to ORKGHandboek bij cursus "Machine learning" (prof. Bernard de Baets) (Willem Waegeman)Includes bibliographical references (p. [509]-522) and indexes
Witten and Frank's textbook was one of two books that I used for a data mining class in the Fall of ...
The ability to learn from observations and to modify our understanding of the world based on experie...
contributions by P. Albertos, A.Benveniste, S. Bittanti, M. Campi, G. Cybenko, M. Deistler, B. Delyo...
Covers supervised learning (prediction) to unsupervised learning. This book contains topics includin...
During the past decade there has been an explosion in computation and information tech-nology. With ...
The Elements of Statistical Learning is an influential and widely studied book in the fields of mach...
'Machine Learning' brings together all the state-of-the-art methods for making sense of data. With h...
The following full text is a publisher's version. For additional information about this publica...
In the words of the authors, the goal of this book was to “bring together many of the important new ...
Data mining is a field developed by com-puter scientists, but many of its cru-cial elements are imbe...
Includes bibliographical references (p. 587-605) and index.Book Fair 2013.xxxiii, 629 p.
The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Bet...
Abstract The course Prediction: Machine Learning and Statistics is taught currently at MIT to mathem...
Abstract. Data mining is on the interface of Computer Science and Statistics, utilizing advances in ...
Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine ...
Witten and Frank's textbook was one of two books that I used for a data mining class in the Fall of ...
The ability to learn from observations and to modify our understanding of the world based on experie...
contributions by P. Albertos, A.Benveniste, S. Bittanti, M. Campi, G. Cybenko, M. Deistler, B. Delyo...
Covers supervised learning (prediction) to unsupervised learning. This book contains topics includin...
During the past decade there has been an explosion in computation and information tech-nology. With ...
The Elements of Statistical Learning is an influential and widely studied book in the fields of mach...
'Machine Learning' brings together all the state-of-the-art methods for making sense of data. With h...
The following full text is a publisher's version. For additional information about this publica...
In the words of the authors, the goal of this book was to “bring together many of the important new ...
Data mining is a field developed by com-puter scientists, but many of its cru-cial elements are imbe...
Includes bibliographical references (p. 587-605) and index.Book Fair 2013.xxxiii, 629 p.
The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Bet...
Abstract The course Prediction: Machine Learning and Statistics is taught currently at MIT to mathem...
Abstract. Data mining is on the interface of Computer Science and Statistics, utilizing advances in ...
Data Mining: Practical Machine Learning Tools and Techniques offers a thorough grounding in machine ...
Witten and Frank's textbook was one of two books that I used for a data mining class in the Fall of ...
The ability to learn from observations and to modify our understanding of the world based on experie...
contributions by P. Albertos, A.Benveniste, S. Bittanti, M. Campi, G. Cybenko, M. Deistler, B. Delyo...