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Freely available in its PDF form from the author's website: faculty.marshall.usc.edu/gareth-james/ISL/
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Winner of the 2014 Technometrics Ziegel Prize for Outstanding BookApplied Predictive Modeling covers the overall predictive modeling process, beginning with …
The dramatic growth in practical applications for machine learning over the last ten years has been accompanied by many important …
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that …
As with any burgeoning technology that enjoys commercial attention, the use of data mining is surrounded by a great deal …
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Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and …
This established textbook introduces the essentials of classification as used for information processing. The third edition takes account of developments …
A comprehensive guide to the essential principles of image processing and pattern recognition Techniques and applications in the areas of …
This book delivers a course module for advanced undergraduates, postgraduates and researchers of electronics, computing science, medical imaging, or wherever …
Through extensive examples and case studies, Wavelet Neural Networks provides a step-by-step introduction to modeling, training, and forecasting using wavelet …
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In this book Werner Hüllen examines Roget's Thesaurus in relation to linguistics, philosophy and history. He explores the influence of …
Varieties of algebras are equationally defined classes of algebras, or "primitive classes" in MAL'CEV'S terminology. They made their first explicit …
Descriptive set theory is mainly concerned with studying subsets of the space of all countable binary sequences. In this paper …
Enzinger and Weiss's Soft Tissue Tumors is your essential medical reference on the diagnosis of tumors of the skeletal muscles, …
This book presents machine learning models and algorithms to address big data classification problems. Existing machine learning techniques like the …
Pattern Recognition Algorithms for Data Mining covers the topic of data mining from a pattern recognition perspective. This unique book …
Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark using …
This book explains the principal techniques of data mining, for classification, association rule mining and clustering. Each topic is clearly …
In this research monograph, the author's work on classification and related topics are presented. This revised edition brings the book …
Images, Arrays, and MatricesMultispectral Satellite ImagesAlgebra of Vectors and MatricesEigenvalues and Eigenvectors Singular Value DecompositionVector Derivatives Finding Minima and Maxima …
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Cover; Half Title; Title Page; Copyright Page; Table of Contents; Preface to the First Edition; Preface to the Second Edition; …
This book highlights the latest advances in engineering mathematics with a main focus on the mathematical models, structures, concepts, problems …
Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and …
Winner of the 2014 Technometrics Ziegel Prize for Outstanding Book Applied Predictive Modeling covers the overall predictive modeling process, beginning …
