عنوان
پدید آورنده
موضوع
رده
Q180.55.Q36
Q180
.
55
.
Q36
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
3319500171
(Number (ISBN
9783319500171
Erroneous ISBN
3319500163
Erroneous ISBN
9783319500164
NATIONAL BIBLIOGRAPHY NUMBER
Country Code
bnb
Number
b624002
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Introduction to data science :
General Material Designation
[Book]
Other Title Information
a Python approach to concepts, techniques and applications /
First Statement of Responsibility
Laura Igual, Santi Seguí ; with contributions from Jordi Vitrià [and others].
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Cham, Switzerland :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
2017.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource
SERIES
Series Title
Undergraduate topics in computer science,
ISSN of Series
1863-7310
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index.
CONTENTS NOTE
Text of Note
Introduction to Data Science -- Toolboxes for Data Scientists -- Descriptive statistics -- Statistical Inference -- Supervised Learning -- Regression Analysis -- Unsupervised Learning -- Network Analysis -- Recommender Systems -- Statistical Natural Language Processing for Sentiment Analysis -- Parallel Computing.
0
SUMMARY OR ABSTRACT
Text of Note
This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or performing sentiment analysis. Topics and features: Provides numerous practical case studies using real-world data throughout the book Supports understanding through hands-on experience of solving data science problems using Python Describes techniques and tools for statistical analysis, machine learning, graph analysis, and parallel programming Reviews a range of applications of data science, including recommender systems and sentiment analysis of text data Provides supplementary code resources and data at an associated website
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Springer Nature
Stock Number
com.springer.onix. 9783319500171
OTHER EDITION IN ANOTHER MEDIUM
Title
Introduction to data science.
International Standard Book Number
9783319500164
TOPICAL NAME USED AS SUBJECT
Python (Computer program language)
Quantitative research.
Artificial intelligence.
Computers-- Computer Vision & Pattern Recognition.
Computers-- Database Management-- Data Mining.
Computers-- Intelligence (AI) & Semantics.
Computers-- Mathematical & Statistical Software.
Data mining.
Mathematical & statistical software.
Maths for computer scientists.
Pattern recognition.
Python (Computer program language)
Quantitative research.
(SUBJECT CATEGORY (Provisional
COM021030
UNF
UNF
UYQE
UYQE
DEWEY DECIMAL CLASSIFICATION
Number
001
.
4/2
Edition
23
LIBRARY OF CONGRESS CLASSIFICATION
Class number
Q180
.
55
.
Q36
PERSONAL NAME - PRIMARY RESPONSIBILITY
Igual, Laura.
PERSONAL NAME - ALTERNATIVE RESPONSIBILITY
Seguí, Santi.
ORIGINATING SOURCE
Date of Transaction
20201221083127.0
Cataloguing Rules (Descriptive Conventions))
pn
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب [Book]
270410
Y
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