Detalles MARC
| 000 -LEADER |
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| fixed length control field |
04265nam a2200373 a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20240210205428.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
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| fixed length control field |
m d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
cr cnu---uuuuu |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
171214s2018 s 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9783319644103 |
| -- |
978-3-319-64410-3 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
CO-CtgIUMC |
| Language of cataloging |
spa |
| Transcribing agency |
coctgiumc |
| Modifying agency |
rda |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
005.55 |
| Item number |
F735 |
| Edition number |
23 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Forsyth, David., |
| Relator term |
autor. |
| Relationship |
aut. |
| -- |
http://id.loc.gov/vocabulary/relators/aut |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Probability and Statistics for Computer Science |
| Medium |
[electronic resource] / |
| Statement of responsibility, etc. |
by David Forsyth. |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Cham : : |
| Name of producer, publisher, distributor, manufacturer |
Springer International Publishing : : |
| -- |
Imprint: Springer,, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2018 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
2018 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
XXIV, 367 páginas. 124 illus., 84 illus. in color. : |
| Other physical details |
online resource. |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
texto |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
computador |
| Media type code |
c |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
recurso en línea |
| Carrier type code |
cr |
| Source |
rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS |
|---|
| File type |
text file |
| Encoding format |
PDF |
| Source |
rda |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Incluye referencias bibliográficas e índice. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
1 Notation and conventions -- 2 First Tools for Looking at Data -- 3 Looking at Relationships -- 4 Basic ideas in probability -- 5 Random Variables and Expectations -- 6 Useful Probability Distributions -- 7 Samples and Populations -- 8 The Significance of Evidence -- 9 Experiments -- 10 Inferring Probability Models from Data -- 11 Extracting Important Relationships in High Dimensions -- 12 Learning to Classify -- 13 Clustering: Models of High Dimensional Data -- 14 Regression -- 15 Markov Chains and Hidden Markov Models -- 16 Resources. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
This textbook is aimed at computer science undergraduates late in sophomore or early in junior year, supplying a comprehensive  background in qualitative and quantitative data analysis, probability, random variables, and statistical methods, including machine learning. With careful treatment of topics that fill the curricular needs for the course, Probability and Statistics for Computer Science  features: •     A treatment of random variables and expectations dealing primarily with the discrete case. •     A  practical treatment of simulation, showing how many interesting probabilities and expectations can be extracted, with particular emphasis on  Markov chains. •     A clear but crisp account of simple point inference strategies (maximum likelihood;   Bayesian inference) in simple contexts. This is extended to cover some confidence intervals, samples and populations for random sampling with replacement, and the simplest hypothesis testing. •     A chapter dealing with classification, explaining why it's useful; how to train SVM classifiers with stochastic gradient descent; and how to use implementations of more advanced methods  such as  random forests and nearest neighbors. •     A chapter dealing with regression, explaining how to set up, use and understand linear regression and nearest neighbors regression in practical problems. •     A chapter dealing with principal components analysis, developing intuition carefully, and including numerous practical examples. There is a brief description of multivariate scaling via principal coordinate analysis. •     A chapter dealing with clustering via agglomerative methods and k-means, showing how to build vector quantized features for complex signals. Illustrated throughout, each main chapter includes many worked examples and other pedagogical elements such as boxed Procedures, Definitions, Useful Facts, and Remember This (short tips). Problems and Programming Exercises are at the end of each chapter, with a summary of what the reader should know.   Instructor resources include  a full set of model solutions for  all  problems, and an Instructor's Manual with accompanying presentation slides. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Ciencias de la computación. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Simulación en computadores. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Estadística matemática. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Probabilidad en ciencias de la computación. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Simulación y modelación. |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY |
|---|
| Title |
Springer eBooks |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Public note |
Dar click aqui para ver texto completo |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Libros electrónicos |
