Introduction to data science : (Record no. 607958)
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| control field | 1430431939wcmSPRnew |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OCoLC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251123081015.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION | |
| fixed length control field | m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
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| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240418s2024 sz a ob 001 0 eng d |
| 015 ## - NATIONAL BIBLIOGRAPHY NUMBER | |
| National bibliography number | GBC593582 |
| Source | bnb |
| 016 7# - NATIONAL BIBLIOGRAPHIC AGENCY CONTROL NUMBER | |
| Record control number | 300601819 |
| Source | Uk |
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| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783031489563 |
| Qualifying information | electronic bk. |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-3-031-48956-3 |
| Source of number or code | doi |
| 024 8# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | CIPO000260734 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)1430431939 |
| Canceled/invalid control number | (OCoLC)1430322139 |
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| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | GW5XE |
| Language of cataloging | eng |
| Description conventions | rda |
| -- | pn |
| Transcribing agency | GW5XE |
| Modifying agency | EBLCP |
| -- | OCLCO |
| -- | YDX |
| -- | OCLCQ |
| -- | NEHVU |
| -- | OCLCQ |
| -- | UKAHL |
| -- | EMRUN |
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| -- | UKMGB |
| -- | OCLCO |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q180.55.Q36 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM021000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UN |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UN |
| Source | thema |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Igual, Laura, |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Introduction to data science : |
| Remainder of title | a Python approach to concepts, techniques and applications / |
| Statement of responsibility, etc | Laura Igual, Santi Segu�i. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | Second edition. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS | |
| Place of production, publication, distribution, manufacture | Cham : |
| Name of producer, publisher, distributor, manufacturer | Springer, |
| Date of production, publication, distribution, manufacture | 2024. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (xiv, 246 pages) : |
| Other physical details | illustrations (some color) |
| 336 ## - CONTENT TYPE | |
| Content Type Term | text |
| Content Type Code | txt |
| Source | rdacontent. |
| 337 ## - MEDIA TYPE | |
| Media Type Term | computer |
| Media Type Code | c |
| Source | rdamedia. |
| 338 ## - CARRIER TYPE | |
| Carrier Type Term | online resource |
| Carrier Type Code | cr |
| Source | rdacarrier. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Undergraduate topics in computer science, |
| International Standard Serial Number | 2197-1781. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1. Introduction to Data Science -- 2. Toolboxes for Data Scientists -- 3. Descriptive statistics -- 4. Statistical Inference -- 5. Supervised Learning -- 6. Regression Analysis -- 7. Unsupervised Learning -- 8. Network Analysis -- 9. Recommender Systems -- 10. Statistical Natural Language Processing for Sentiment Analysis -- 11. Parallel Computing. |
| 506 1# - RESTRICTIONS ON ACCESS NOTE | |
| Terms governing access | Access limited to UNC Chapel Hill-authenticated users. |
| Standardized terminology for access restriction | Unlimited simultaneous users. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This textbook presents an introduction to the fundamentals of the interdisciplinary field of data science. The coverage spans key concepts from statistics, machine/deep learning and responsible data science, useful techniques for network analysis and natural language processing, and practical applications of data science such as recommender systems or 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 concepts, techniques and tools for statistical analysis, machine learning, graph analysis, natural language processing, deep learning and responsible data science 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 Matem�atiques i Inform�atica, Universitat de Barcelona, Spain. Dr. Santi Segu�i is an Associate Professor at the same institution. The authors wish to mention that some chapters were co-written by Jordi Vitri�a, Eloi Puertas, Petia Radeva, Oriol Pujol, Sergio Escalera. |
| 588 0# - | |
| -- | Online resource; title from PDF title page (SpringerLink, viewed April 18, 2024). |
| 590 0# - LOCAL NOTE (RLIN) | |
| Local note | Content provider: SpringerLink. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Python (Computer program language) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Quantitative research. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data mining |
| Source of heading or term | fast. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Mathematical statistics |
| Source of heading or term | fast. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Python (Computer program language) |
| Source of heading or term | fast. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Qualitative research |
| Source of heading or term | fast. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Segu�i, Santi, |
| Relator term | author. |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer e-books (online collection). Computer science. 2024. |
| 773 1# - HOST ITEM ENTRY | |
| Title | OCLC WorldShare Collection Manager managed collection. SPRnew. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Qualifying information | Original |
| International Standard Book Number | 3031489551 |
| -- | 9783031489556 |
| Record control number | (OCoLC)1412623335. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Print version : |
| International Standard Book Number | 9783031489556. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Undergraduate topics in computer science, |
| -- | 2197-1781. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://login.libproxy.lib.unc.edu/login?url=https://link.springer.com/10.1007/978-3-031-48956-3">https://login.libproxy.lib.unc.edu/login?url=https://link.springer.com/10.1007/978-3-031-48956-3</a> |
| Link text | Full text available via the UNC-Chapel Hill Libraries |
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