Author: David Applebaum
Publisher: Cambridge University Press
ISBN: 9780521727884
Category : Mathematics
Languages : en
Pages : 250
Book Description
This new and updated textbook is an excellent way to introduce probability and information theory to students new to mathematics, computer science, engineering, statistics, economics, or business studies. Only requiring knowledge of basic calculus, it begins by building a clear and systematic foundation to probability and information. Classic topics covered include discrete and continuous random variables, entropy and mutual information, maximum entropy methods, the central limit theorem and the coding and transmission of information. Newly covered for this edition is modern material on Markov chains and their entropy. Examples and exercises are included to illustrate how to use the theory in a wide range of applications, with detailed solutions to most exercises available online for instructors.
Probability and Information
Author: David Applebaum
Publisher: Cambridge University Press
ISBN: 9780521727884
Category : Mathematics
Languages : en
Pages : 250
Book Description
This new and updated textbook is an excellent way to introduce probability and information theory to students new to mathematics, computer science, engineering, statistics, economics, or business studies. Only requiring knowledge of basic calculus, it begins by building a clear and systematic foundation to probability and information. Classic topics covered include discrete and continuous random variables, entropy and mutual information, maximum entropy methods, the central limit theorem and the coding and transmission of information. Newly covered for this edition is modern material on Markov chains and their entropy. Examples and exercises are included to illustrate how to use the theory in a wide range of applications, with detailed solutions to most exercises available online for instructors.
Publisher: Cambridge University Press
ISBN: 9780521727884
Category : Mathematics
Languages : en
Pages : 250
Book Description
This new and updated textbook is an excellent way to introduce probability and information theory to students new to mathematics, computer science, engineering, statistics, economics, or business studies. Only requiring knowledge of basic calculus, it begins by building a clear and systematic foundation to probability and information. Classic topics covered include discrete and continuous random variables, entropy and mutual information, maximum entropy methods, the central limit theorem and the coding and transmission of information. Newly covered for this edition is modern material on Markov chains and their entropy. Examples and exercises are included to illustrate how to use the theory in a wide range of applications, with detailed solutions to most exercises available online for instructors.
Bridge, Probability & Information
Author: Robert F. MacKinnon
Publisher:
ISBN: 9781897106532
Category : Games & Activities
Languages : en
Pages : 241
Book Description
While firmly rooted in mathematics, this is a book that aims to be accessible to any bridge player. It develops ideas about probability and information theory and applies them to bridge. Concepts such as vacant spaces, restricted choice and how splits in one suit affect the probabilities in other suits, are discussed in depth.
Publisher:
ISBN: 9781897106532
Category : Games & Activities
Languages : en
Pages : 241
Book Description
While firmly rooted in mathematics, this is a book that aims to be accessible to any bridge player. It develops ideas about probability and information theory and applies them to bridge. Concepts such as vacant spaces, restricted choice and how splits in one suit affect the probabilities in other suits, are discussed in depth.
Probability and Information Theory, with Applications to Radar
Author: Philip M. Woodward
Publisher: Artech House on Demand
ISBN: 9780890061039
Category : Technology & Engineering
Languages : en
Pages : 128
Book Description
Publisher: Artech House on Demand
ISBN: 9780890061039
Category : Technology & Engineering
Languages : en
Pages : 128
Book Description
Probability and Information Theory
Author: M. Behara
Publisher: Springer
ISBN: 9783540046080
Category : Mathematics
Languages : en
Pages : 0
Book Description
Publisher: Springer
ISBN: 9783540046080
Category : Mathematics
Languages : en
Pages : 0
Book Description
Information Theory, Inference and Learning Algorithms
Author: David J. C. MacKay
Publisher: Cambridge University Press
ISBN: 9780521642989
Category : Computers
Languages : en
Pages : 694
Book Description
Table of contents
Publisher: Cambridge University Press
ISBN: 9780521642989
Category : Computers
Languages : en
Pages : 694
Book Description
Table of contents
Probability and Statistics
Author: John Tabak
Publisher: Infobase Publishing
ISBN: 0816068739
Category : Electronic books
Languages : en
Pages : 241
Book Description
Presents a survey of the history and evolution of the branch of mathematics that focuses on probability and statistics, including useful applications and notable mathematicians in this area.
Publisher: Infobase Publishing
ISBN: 0816068739
Category : Electronic books
Languages : en
Pages : 241
Book Description
Presents a survey of the history and evolution of the branch of mathematics that focuses on probability and statistics, including useful applications and notable mathematicians in this area.
High-Dimensional Probability
Author: Roman Vershynin
Publisher: Cambridge University Press
ISBN: 1108415199
Category : Business & Economics
Languages : en
Pages : 299
Book Description
An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.
Publisher: Cambridge University Press
ISBN: 1108415199
Category : Business & Economics
Languages : en
Pages : 299
Book Description
An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.
Introduction to Probability for Data Science
Author: Stanley H. Chan
Publisher: Michigan Publishing Services
ISBN: 9781607857464
Category : Computer science and applied mathematics
Languages : en
Pages : 0
Book Description
"Probability is one of the most interesting subjects in electrical engineering and computer science. It bridges our favorite engineering principles to the practical reality, a world that is full of uncertainty. However, because probability is such a mature subject, the undergraduate textbooks alone might fill several rows of shelves in a library. When the literature is so rich, the challenge becomes how one can pierce through to the insight while diving into the details. For example, many of you have used a normal random variable before, but have you ever wondered where the 'bell shape' comes from? Every probability class will teach you about flipping a coin, but how can 'flipping a coin' ever be useful in machine learning today? Data scientists use the Poisson random variables to model the internet traffic, but where does the gorgeous Poisson equation come from? This book is designed to fill these gaps with knowledge that is essential to all data science students." -- Preface.
Publisher: Michigan Publishing Services
ISBN: 9781607857464
Category : Computer science and applied mathematics
Languages : en
Pages : 0
Book Description
"Probability is one of the most interesting subjects in electrical engineering and computer science. It bridges our favorite engineering principles to the practical reality, a world that is full of uncertainty. However, because probability is such a mature subject, the undergraduate textbooks alone might fill several rows of shelves in a library. When the literature is so rich, the challenge becomes how one can pierce through to the insight while diving into the details. For example, many of you have used a normal random variable before, but have you ever wondered where the 'bell shape' comes from? Every probability class will teach you about flipping a coin, but how can 'flipping a coin' ever be useful in machine learning today? Data scientists use the Poisson random variables to model the internet traffic, but where does the gorgeous Poisson equation come from? This book is designed to fill these gaps with knowledge that is essential to all data science students." -- Preface.
Understanding Probability and Statistics
Author: Ruma Falk
Publisher: A K Peters/CRC Press
ISBN:
Category : Mathematics
Languages : en
Pages : 264
Book Description
Publisher: A K Peters/CRC Press
ISBN:
Category : Mathematics
Languages : en
Pages : 264
Book Description
Probability and Information
Author: A.M. Yaglom
Publisher: Springer Science & Business Media
ISBN: 9789027715227
Category : Social Science
Languages : en
Pages : 454
Book Description
Publisher: Springer Science & Business Media
ISBN: 9789027715227
Category : Social Science
Languages : en
Pages : 454
Book Description