| INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783319500164 |
| SUBJECT CATEGORY CODE |
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| Subject category code |
UNF |
| Source |
bicssc |
| SUBJECT CATEGORY CODE |
|---|
| Subject category code |
UYQE |
| Source |
bicssc |
| SUBJECT CATEGORY CODE |
|---|
| Subject category code |
COM021030 |
| Source |
bisacsh |
| DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Call number |
001.42 IN IG |
| MAIN ENTRY--PERSONAL NAME |
|---|
| Authors |
Igual, Laura |
| TITLE STATEMENT |
|---|
| Title |
Introduction to Data Science : |
| Subtitle |
a python approach to concepts, techniques and applications |
| Statement of responsibility, etc |
Laura Igual, Santi Seguí |
| PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication |
Switzerland : |
| Publisher |
Springer, |
| Date |
c2017. |
| PHYSICAL DESCRIPTION |
|---|
| Extent |
xiv, 218 p. : |
| Other Details |
ill. ; |
| Size |
24 cm. |
| SERIES STATEMENT |
|---|
| Series statement |
Undergraduate Topics in Computer Science, |
| International Standard Serial Number |
1863-7310 |
| CONTENTS |
|---|
| Contents |
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. |
| SUMMARY |
|---|
| Summary |
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< This practically-focused textbook provides an ideal introduction to the field for upper-tier undergraduate and beginning graduate students from computer science, mathematics, statistics, and other technical disciplines. The work is also eminently suitable for professionals on continuous education short courses, and to researchers following self-study courses. Dr. Laura Igual is an Associate Professor at the Departament de Matemàtiques i Informàtica, Universitat de Barcelona, Spain. Dr. Santi Seguí is an Assistant Professor at the same institution. |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical Heading |
Computer science |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical Heading |
Mathematical statistics |
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| Topical Heading |
Data mining |
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| Topical Heading |
Artificial intelligence |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical Heading |
Pattern perception |
| SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical Heading |
Statistics |
| ADDED ENTRY |
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| Name |
Seguí, Santi |
| ADDED ENTRY |
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| Name |
Vitria, Jordi, |
| Role |
Contributed by |
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| Name |
Puertas, Eloi, |
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Contributed by |
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Radeva, Petia, |
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Contributed by |
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Pujol, Oriol, |
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Contributed by |
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Escalera, Sergio, |
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Contributed by |
| ADDED ENTRY |
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| Name |
Danti, Francesc, |
| Role |
Contributed by |
| ADDED ENTRY |
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| Name |
Garrido, Liuis, |
| Role |
Contributed by |
| SERIES UNIFORM TITLE |
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| Series Uniform Title |
Undergraduate Topics in Computer Science, |
| ELECTRONIC LOCATION AND ACCESS |
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| Uniform Resource Identifier |
https://uowd.box.com/s/p95kqo6z1xe76ufxb0j0kza5dho3mqfi |
| Public note |
Location Map |
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