This book explores multivariate statistics from traditional and modern perspectives. It covers core topics like multivariate normality, MANOVA, and canonical correlation analysis, as well as modern concepts such as gradient boosting, random forests,...Lasīt vairāk
Provides a complete and concise overview of deep learning using the language of mathematics. Provides a self-contained background on machine learning and optimization algorithms, and progresses through the key ideas of deep learning....Lasīt vairāk
Symbolic regression (SR) is one of the most powerful machine learning techniques that produces transparent models, searching the space of mathematical expressions for a model that represents the relationship between the predictors and the dependent...Lasīt vairāk
This book takes a deep dive into several key linear algebra subjects as they apply to data analytics and data mining. The book offers a case study approach where each case will be grounded in a real-world application....Lasīt vairāk
This book aims to be useful to (almost) everyone. Deep Learning and Scientific Computing with R Torch provides a thorough introduction to torch basics both by carefully explaining underlying concepts and ideas, and showing enough examples for the r...Lasīt vairāk
The second edition of this bestseller provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. This edition contains a new chapter on Bayesian network classifiers and a new section on...Lasīt vairāk
Based on the authors experience teaching data science for more than 10 years, Mathematics and R Programming for Machine Learning reveals how machine learning algorithms do their magic and explains how logic can be implemented in code....Lasīt vairāk
This book covers the state of art image classification methods for discrimination of earth objects from remote sensing satellite data with an emphasis on fuzzy based learning methods including applications for preparing land cover classification out...Lasīt vairāk
This book synthesizes those techniques from numerical analysis, algorithms, data structures, and optimization theory mostcommonly employed in statistics and machine learning. We provide concrete applications of these methods by giving complete refer...Lasīt vairāk
(Izdošanas datums: 21-Sep-2012, Izdevniecība: John Wiley & Sons Inc, ISBN-13: 9781118437957)
Steganography is the art of communicating a secret message, hiding the very existence of a secret message. This book is an introduction to steganalysis as part of the wider trend of multimedia forensics, as well as a practical tutorial on machine le...Lasīt vairāk
Sērija : Wiley Series in Probability and Statistics
(Izdošanas datums: 27-Apr-2012, Izdevniecība: John Wiley & Sons Inc, ISBN-13: 9781118309858)
Learn the science of collecting information to make effective decisions Everyday decisions are made without the benefit of accurate information. Optimal Learning develops the needed principles for gathering information to make decisions, especiall...Lasīt vairāk
