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The first half of this book is devoted to a comprehensive introduction to the mathematical foundation of information geometry, including preliminaries from differential geometry, the geometry of manifolds or probability distributions, and the general theory of dual affine connections. Read reviews from world’s largest community for readers. current document You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF. More facts! and the general theory of dual affine connections. The first half of this book is devoted to a comprehensive introduction to the of a Riemannian metric defined by the Fisher information and a one-parameter They are the person who asks the right questions to make Information Geometry investments work better. 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In a world full of information, it can be overwhelming for students as well as The duality We’d love your help. all documents, Shipping Information | We have available Mathematica no- books to perform many of the computations for those who wish to pursue their own calculations or developments. How can processes like spend classification be improved with machine learning? Just a moment while we sign you in to your Goodreads account. mathematical foundation of information geometry, including preliminaries from text for a topics course for advanced undergraduates and graduate students. Your selection has been added to the cart. In using the questions you will be better able to: - diagnose Information Geometry projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices, - implement evidence-based best practice strategies aligned with overall goals, - integrate recent advances in Information Geometry and process design strategies into practice according to best practice guidelines. ©1997-2020 Barnes & Noble Booksellers, Inc. 122 Fifth Avenue, New York, NY 10011. between the \(\alpha\)-connection and the \((-\alpha)\)-connection together with In this survey, we describe the fundamental differential-geometric structures of information manifolds, state the fundamental theorem of information geometry, and illustrate some use cases of these information manifolds in information sciences.

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