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Information Theory and Statistical Learning

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This book presents theoretical and practical results of information theoretic methods used in the context of statistical learning. Its major goal is to advocate and promote the importance and usefulness of information theoretic concepts for understanding and developing the sophisticated machine learning methods necessary not only to cope with the challenges of modern data analysis but also to gain further insights into their theoretical foundations. Here Statistical Learning is loosely defined as a synonym, for, e.g., Applied Statistics, Artificial Intelligence or Machine Learning. Over the last decades, many approaches and algorithms have been suggested in the fields mentioned above, for which information theoretic concepts constitute core ingredients. For this reason we present a selected collection of some of the finest concepts and applications thereof from the perspective of information theory as the underlying guiding principles.We consider such a perspective as very insightful and expect an even greater appreciation for this perspective over the next years.

The book is intended for interdisciplinary use, ranging from Applied Statistics, Artificial Intelligence, Applied Discrete Mathematics, Computer Science, Information Theory, Machine Learning to Physics. In addition, people working in the hybrid fields of Bioinformatics, Biostatistics, Computational Biology, Computational Linguistics, Medical Bioinformatics, Neuroinformatics orWeb Mining might profit tremendously from the presented results because these data-driven areas are in permanent need of new approaches to cope with the increasing flood of highdimensional, noisy data that possess seemingly never ending challenges for their analysis.
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Modeling Evolution: An Introduction to Numerical Methods
Modeling Evolution: An Introduction to Numerical Methods

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The ETF Trend Following Playbook: Profiting from Trends in Bull or Bear Markets with Exchange Traded Funds

Master the Low-Risk ETF-Based Investing Strategy That Gives You the Chance to Make Money in Any Market Climate

 

“Tom Lydon has been a leader in...

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Before the design of any system implementation may commence, first one must assess the
environment into which that system is to be deployed.This argument holds true especially for
Active Directory (AD). Active Directory has the potential to affect every facet of your IT
infrastructure and every team involved with IT, even in the
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Hybrid Cloud for Architects: Build robust hybrid cloud solutions using AWS and OpenStack

Build your own hybrid cloud strategy with this comprehensive learning guide.

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Schaum's Outline of Data Structures with Java, Second Edition
Schaum's Outline of Data Structures with Java, Second Edition
Like other Schaum’s Outlines, this book is intended to be used primarily for self study. It is suitable as a study guide in a course on data structures using the Java programming language. In American universities, this is typically the second course in the computer science major. The book is also serves well as a reference on data structures...
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Social entrepreneurship has become a relevant topic in business, society and politics. Public attention has also been aroused through the increasing presence of social entrepreneurs in the media and numerous popular science publications. Here we may mention David Bornstein ´s book “How to Change the World: Social...
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