Ebook ➠ Information Geometry and Its Applications (Applied Mathematical Sciences) Author Shun ichi Amari – Tactical-player.co.uk

Information Geometry and Its Applications (Applied Mathematical Sciences) This Is The First Comprehensive Book On Information Geometry, Written By The Founder Of The Field It Begins With An Elementary Introduction To Dualistic Geometry And Proceeds To A Wide Range Of Applications, Covering Information Science, Engineering, And Neuroscience It Consists Of Four Parts, Which On The Whole Can Be Read Independently A Manifold With A Divergence Function Is First Introduced, Leading Directly To Dualistic Structure, The Heart Of Information Geometry This Part Part I Can Be Apprehended Without Any Knowledge Of Differential Geometry An Intuitive Explanation Of Modern Differential Geometry Then Follows In Part II, Although The Book Is For The Most Part Understandable Without Modern Differential Geometry Information Geometry Of Statistical Inference, Including Time Series Analysis And Semiparametric Estimation The Neyman Scott Problem , Is Demonstrated Concisely In Part III Applications Addressed In Part IV Include Hot Current Topics In Machine Learning, Signal Processing, Optimization, And Neural Networks The Book Is Interdisciplinary, Connecting Mathematics, Information Sciences, Physics, And Neurosciences, Inviting Readers To A New World Of Information And Geometry This Book Is Highly Recommended To Graduate Students And Researchers Who Seek New Mathematical Methods And Tools Useful In Their Own Fields


About the Author: Shun ichi Amari

Is a well-known author, some of his books are a fascination for readers like in the Information Geometry and Its Applications (Applied Mathematical Sciences) book, this is one of the most wanted Shun ichi Amari author readers around the world.



3 thoughts on “Information Geometry and Its Applications (Applied Mathematical Sciences)

  1. says:

    Useful summary of an unfamiliar but increasingly important topic in modelling and optimisation


  2. says:

    I really like this book, and I would love to give it five stars As I have some background in differential geometry, and currently work with large sets of data, I find the marriage between machine learning and differential geometry very appealing Having said this, the resulting information geometry seems to have very little new insight to offer Standard concepts


  3. says:

    This book is an updated review of the field by a main founder of Information Geometry.From the previous literature Methods of Information Geometry, extensive update has been made.Far references are added as sections chapters, e.g many recent results from after 2010 are cited and comprehensively explained.This book should be the new standard as an introductory textbook


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