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Artificial Intelligence Frontiers in Statistics

2020-11-26 Business & Economics
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Release : 2020-11-26
Genre : Business & Economics
Kind : eBook
Book Rating : 879/5 ( reviews)

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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. This book was released on 2020-11-26. 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.

Artificial Intelligence Frontiers in Statistics

2013-08-22 Mathematics
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Release : 2013-08-22
Genre : Mathematics
Kind : eBook
Book Rating : 389/5 ( reviews)

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

Download or read book Artificial Intelligence Frontiers in Statistics written by D. J. Hand. This book was released on 2013-08-22. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence Frontiers in Statistics

2020-11-26 Business & Economics
Download Artificial Intelligence Frontiers in Statistics PDF Online Free

Author :
Release : 2020-11-26
Genre : Business & Economics
Kind : eBook
Book Rating : 91X/5 ( reviews)

GET EBOOK


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. This book was released on 2020-11-26. 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.

Frontiers in Data Science

2017-10-16 Business & Economics
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Release : 2017-10-16
Genre : Business & Economics
Kind : eBook
Book Rating : 337/5 ( reviews)

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Book Synopsis Frontiers in Data Science by : Matthias Dehmer

Download or read book Frontiers in Data Science written by Matthias Dehmer. This book was released on 2017-10-16. Available in PDF, EPUB and Kindle. Book excerpt: Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the process of analyzing data to transform data into insights. This also involves asking philosophical, legal and social questions in the context of data generation and analysis. In fact, Big Data also belongs to this universe as it comprises data gathering, data fusion and analysis when it comes to manage big data sets. A major goal of this book is to understand data science as a new scientific discipline rather than the practical aspects of data analysis alone.

Statistical Relational Artificial Intelligence

2016-03-24 Computers
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Release : 2016-03-24
Genre : Computers
Kind : eBook
Book Rating : 427/5 ( reviews)

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Book Synopsis Statistical Relational Artificial Intelligence by : Luc De Raedt

Download or read book Statistical Relational Artificial Intelligence written by Luc De Raedt. This book was released on 2016-03-24. Available in PDF, EPUB and Kindle. Book excerpt: An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty. Uncertainty has been studied in probability theory and graphical models, and relations have been studied in logic, in particular in the predicate calculus and its extensions. This book examines the foundations of combining logic and probability into what are called relational probabilistic models. It introduces representations, inference, and learning techniques for probability, logic, and their combinations. The book focuses on two representations in detail: Markov logic networks, a relational extension of undirected graphical models and weighted first-order predicate calculus formula, and Problog, a probabilistic extension of logic programs that can also be viewed as a Turing-complete relational extension of Bayesian networks.

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