Artificial Intelligence And Statistics

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Artificial Intelligence Frontiers in Statistics

Author	: David J. Hand
Publisher	: CRC Press
Total Pages	: 431
Release	: 2020-11-26
ISBN-10	: 9781000152913
ISBN-13	: 100015291X
Rating	: 4/5 (91X Downloads)

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Book Synopsis Artificial Intelligence Frontiers in Statistics by : David J. Hand

Download or read book Artificial Intelligence Frontiers in Statistics written by David J. Hand and published by CRC Press. This book was released on 2020-11-26 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a summary of recent work on the interface between artificial intelligence and statistics. It does this through a series of papers by different authors working in different areas of this interface. These papers are a selected and referenced subset of papers presented at the 3rd Interntional Workshop on Artificial Intelligence and Statistics, Florida, January 1991.

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Language: en
Pages: 431

Artificial Intelligence Frontiers in Statistics

Authors: David J. Hand

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Type: BOOK - Published: 2020-11-26 - Publisher: CRC Press

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Revolutionary Mathematics

Authors: Justin Joque

Categories: Political Science

Type: BOOK - Published: 2022-01-18 - Publisher: Verso Books

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Traces the revolution in statistics that gave rise to artificial intelligence and predictive algorithms refiguring contemporary capitalism. Our finances, politi

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Authors: Pratap Dangeti

Categories: Computers

Type: BOOK - Published: 2017-07-21 - Publisher: Packt Publishing Ltd

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Build Machine Learning models with a sound statistical understanding. About This Book Learn about the statistics behind powerful predictive models with p-value,

Language: en
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Learning from Data

Authors: Doug Fisher

Categories: Computers

Type: BOOK - Published: 1996-05-02 - Publisher: Springer Science & Business Media

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This volume contains a revised collection of papers originally presented at the Fifth International Workshop on Artificial Intelligence and Statistics in 1995.

Language: en
Pages: 796

Probability for Statistics and Machine Learning

Authors: Anirban DasGupta

Categories: Mathematics

Type: BOOK - Published: 2011-05-17 - Publisher: Springer Science & Business Media

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This book provides a versatile and lucid treatment of classic as well as modern probability theory, while integrating them with core topics in statistical theor