Natural Language Processing with Python

 

 Natural Language Processing with Python

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Book Description

This book offers a highly accessible introduction to Natural Language Processing, the field that underpins a variety of language technologies ranging from predictive text and email filtering to automatic summarization and translation. You'll learn how to write Python programs to analyze the structure and meaning of texts, drawing on techniques from the fields of linguistics and artificial intelligence.

Book Details
Publisher:	O'Reilly Media
By:	Steven Bird, Ewan Klein, Edward Loper
ISBN:	978-0-596-51649-9
Year:	2009
Pages:	512
Language:	English
File size:	4.1 MB
File format:	PDF

 

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Artificial Intelligence Structures and Strategies 5th Edition

 

Artificial Intelligence Structures and Strategies 5th Edition

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The most general change for the fifth edition was the extension of the material related to
the stochastic approaches to AI. To accomplish we added a completely new Chapter 5 that introduces the stochastic methodology. From the basic foundations of set theory and
counting we develop the notions of probabilities, random variables, and independence. We present and nse Bayes' theorem first with one symptom and one disease and then in its full general form. 

We examine the hypotheses that underlie the use of Bayes and then present the argmax and naive Bayes approaches. We present examples of stochastic reasoning, including several from work in the analysis of language phenomena. We also introduce the idea of conditional independence that leads to our presentation of Bayesian belief networks (BBNs) and d-separation in Chapter 9.

 

 

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