Information Theory 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Information Theory

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Stefan Hollos 作者
Abrazol Publishing
譯者
2015-5-19 出版日期
149 頁數
0 價格
Paperback
叢書系列
9781887187282 圖書編碼

Information Theory 在線電子書 圖書標籤: 科普  數據處理  數學和計算機  信息論   


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Information Theory 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

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Information Theory 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Information Theory 在線電子書 著者簡介

Stefan Hollos is a physicist by training, and is interested in: probability, combinatorics, statistics, information theory, stochastic processes, time series analysis, and computational complexity theory.

He is author of 15 books, including:

* Information Theory: A Concise Introduction

* Art of Pi

* Creating Noise

* Art of the Golden Ratio

* Recursive Digital Filters: A Concise Guide

* Creating Rhythms

* Pattern Generation for Computational Art

* Finite Automata and Regular Expressions: Problems and Solutions

* Probability Problems and Solutions

* Combinatorics Problems and Solutions

* The Coin Toss: Probabilities and Patterns

* Pairs Trading: A Bayesian Example

* Simple Trading Strategies That Work

* Bet Smart: The Kelly System for Gambling and Investing

* Signals from the Subatomic World: How to Build a Proton Precession Magnetometer

Stefan is a partner at Exstrom Laboratories LLC in Longmont, Colorado, and loves the Colorado mountains.


Information Theory 在線電子書 著者簡介


Information Theory 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Information Theory 在線電子書 圖書描述

Books on information theory tend to fall into one of two extreme categories. There are large academic textbooks that cover the subject with great depth and rigor. Probably the best known of these is the book by Cover and Thomas. At the other extreme are the popular books such as the ones by Pierce and Gleick. They provide a very superficial introduction to the subject, enough to engage in cocktail party conversation but little else. This book attempts to bridge these two extremes. This book is written for someone who is at least semi-mathematically literate and wants a concise introduction to some of the major concepts in information theory. The level of mathematics needed is very elementary. A rudimentary grasp of logarithms, probability, and basic algebra is all that is required. Two chapters at the end of the book provide a review of everything the reader needs to know about logarithms and discrete probability to get the most out of the book. Very little attention is given to mathematical proof. Instead the results are presented in a way that makes them almost obvious or at least plausible. The book will appeal to anyone looking for a fast introduction to most of the major topics in information theory. An introduction that is concise but not superficial.

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