Show simple item record

dc.contributor.authorIgual, Laura
dc.contributor.authorSeguí, Santi
dc.date.issued2017
dc.identifier.isbn978-3-319-50017-1
dc.identifier.urihttps://thuvienso.hoasen.edu.vn/handle/123456789/11206
dc.description.abstractThis 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.
dc.formatxiv, 218 p. : ill.
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofseriesUndergraduate topics in computer science
dc.subjectData science
dc.subjectPython (Programming language)
dc.titleIntroduction to data science : a Python approach to concepts, techniques and applications
dc.typeBook


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record