Covers supervised learning (prediction) to unsupervised learning. This book contains topics including neural networks, support vector machines, classification trees and boostin
Principles, techniques, and algorithms in machine learning from the point of view of statistical inf...
Statistical Learning refers to statistical aspects of automated extraction of regularities (structur...
Most data mining opportunities involve machine learning and often come with greater financial reward...
During the past decade there has been an explosion in computation and information tech-nology. With ...
Handboek bij cursus "Machine learning" (prof. Bernard de Baets) (Willem Waegeman)Includes bibliograp...
The Elements of Statistical Learning is an influential and widely studied book in the fields of mach...
Data mining is a field developed by com-puter scientists, but many of its cru-cial elements are imbe...
Witten and Frank's textbook was one of two books that I used for a data mining class in the Fall of ...
Providing a broad but in-depth introduction to neural network and machine learning in a statistical ...
In the words of the authors, the goal of this book was to “bring together many of the important new ...
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...
This book presents key modeling and prediction techniques, along with relevant applications. Topics ...
This textbook considers statistical learning applications when interest centers on the conditional d...
Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, ...
Principles, techniques, and algorithms in machine learning from the point of view of statistical inf...
Statistical Learning refers to statistical aspects of automated extraction of regularities (structur...
Most data mining opportunities involve machine learning and often come with greater financial reward...
During the past decade there has been an explosion in computation and information tech-nology. With ...
Handboek bij cursus "Machine learning" (prof. Bernard de Baets) (Willem Waegeman)Includes bibliograp...
The Elements of Statistical Learning is an influential and widely studied book in the fields of mach...
Data mining is a field developed by com-puter scientists, but many of its cru-cial elements are imbe...
Witten and Frank's textbook was one of two books that I used for a data mining class in the Fall of ...
Providing a broad but in-depth introduction to neural network and machine learning in a statistical ...
In the words of the authors, the goal of this book was to “bring together many of the important new ...
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...
This book presents key modeling and prediction techniques, along with relevant applications. Topics ...
This textbook considers statistical learning applications when interest centers on the conditional d...
Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, ...
Principles, techniques, and algorithms in machine learning from the point of view of statistical inf...
Statistical Learning refers to statistical aspects of automated extraction of regularities (structur...
Most data mining opportunities involve machine learning and often come with greater financial reward...
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