Data science
INITIAL_TITLE_SRCH:
Data science
AUTHOR:
Kelleher, John D., 1974-
Tierney, Brendan, 1970-
ISBN:
9780262535434
PUBLICATION_INFO:
Cambridge, Massachusetts : The MIT Press, c2018.
PHYSICAL_DESC:
xi, 264 p. : ill. ; 18 cm
SERIES:
The MIT Press essential knowledge series
MIT Press essential knowledge series.
SERIES_TITLE:
The MIT Press essential knowledge series
MIT Press essential knowledge series.
CONTENTS:
What is data science? -- What is data and what is a dataset? -- The data science ecosystem -- Machine learning 101 -- Standard data science tasks -- Privacy and ethics -- Future trends and principles of success.
ABSTRACT:
"The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges."-- Provided by publisher.
SUBJECT:
| Big data. |
| Machine learning. |
| Data mining. |
| Quantitative research. |
BIBSUMMARY:
"The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges."--