Data science / John D. Kelleher and Brendan Tierney.

By:

Kelleher, John D, 1974- [author.]

Contributor(s):

Tierney, Brendan, 1970- [author.]

Material type: Text

TextSeries: MIT Press essential knowledge seriesPublisher: Cambridge, Massachusetts : The MIT Press, [2018]Description: xi, 264 pages : illustrations ; 18 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9780262535434
0262535432

Subject(s):

DDC classification:

005.7 23

LOC classification:

QA76.9.B45 K45 2018

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.

Summary: "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.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Book	Janis P. Bellack Library General Stacks	RES METH DATA (Browse shelf(Opens below))	Available		36349000025923

Includes bibliographical references and index.

"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.

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