| 036a | XA-DE |
| 037b | eng |
| 077a | 485731673 Erscheint auch als (Druck-Ausgabe): ‡Igual, Laura: Introduction to data science |
| 087q | 978-3-319-50016-4 |
| 100 | Igual, Laura |
| 104b | Seguí, Santi |
| 331 | Introduction to Data Science |
| 335 | A Python Approach to Concepts, Techniques and Applications |
| 410 | Cham |
| 412 | Springer |
| 425 | 2017 |
| 425a | 2017 |
| 433 | Online-Ressource (XIV, 218 p. 73 illus., 67 illus. in color, online resource) |
| 451b | Undergraduate Topics in Computer Science |
| 527 | Druckausg.ISBN: 978-3-319-50016-4 |
| 527 | Erscheint auch als (Druck-Ausgabe): ‡Igual, Laura: Introduction to data science |
| 527 | Printed editionISBN: 978-3-319-50016-4 |
| 540a | ISBN 978-3-319-50017-1 |
| 700 | |UNF |
| 700 | |UYQE |
| 700 | |COM021030 |
| 700 | |*62-01 |
| 700 | |62-07 |
| 700 | |65C60 |
| 700 | |68T05 |
| 700 | |62H30 |
| 700 | |62-04 |
| 700 | |62J05 |
| 700 | |62J12 |
| 700 | |68T35 |
| 700 | |68T50 |
| 700 | |68W10 |
| 700 | |68W15 |
| 700b | |006.312 |
| 700c | |QA76.9.D343 |
| 700g | 1271477289 QH 500 |
| 700g | 1270877526 SK 830 |
| 750 | 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 |
| 753 | 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 |
| 902s | 494140666 Data Science |
| 902s | 216543657 Big Data |
| 902s | 211263192 Statische Analyse |
| 902s | 212347217 Data Mining |
| 902s | 21008944X Maschinelles Lernen |
| 902s | 21240492X Python <Programmiersprache> |
| 907s | 494140666 Data Science |
| 907s | 216543657 Big Data |
| 907s | 211263192 Statische Analyse |
| 907s | 212347217 Data Mining |
| 907s | 21008944X Maschinelles Lernen |
| 907s | 21240492X Python <Programmiersprache> |
| 012 | 485259958 |
| 081 | Igual, Laura: Introduction to Data Science |
| 100 | Springer E-Book |
| 125a | Elektronischer Volltext - Campuslizenz |
| 655e | $uhttp://dx.doi.org/10.1007/978-3-319-50017-1 |
