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Data science

By: Contributor(s): Material type: TextTextSeries: MIT Press essential knowledge seriesPublication details: Cambridge, Massachusetts, The MIT Press, 2018Description: xi, 264 pages : illustrations ; 18 cmISBN:
  • 9780262535434 (pbk. : alk. paper)
Subject(s): DDC classification:
  • 005.7
Contents:
What is data science? What are data, and What is a data set? A data science ecosystem Machine learning 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."
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What is data science?
What are data, and What is a data set?
A data science ecosystem
Machine learning
Standard data science tasks
Privacy and ethics
Future trends and principles of success

"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."

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