Data science / John D. Kelleher and Brendan Tierney
By: Kelleher, John D [author].
Contributor(s): Tierney, Brendan [author].
Series: MIT Press essential knowledge series: Publisher: Cambridge, Massachusetts : The MIT Press, [2018]Description: xi, 264 pages : illustrations ; 18 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780262535434.Subject(s): Big data | Machine learning | Data mining | Quantitative researchGenre/Form: Print books.| Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|
| On Shelf | QA76.9.B45 K45 2018 (Browse shelf) | Available | AU00000000012690 |
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| QA76.9.B45 A73 2022 Human-centered data science : an introduction / | QA76.9.B45 C38 2021 Big data mining and complexity / | QA76.9.B45 C54 2017 Big Data : How the Information Revolution Is Transforming Our Lives. | QA76.9.B45 K45 2018 Data science / | QA76.9.B45 K47 2018 Mathematics of big data : spreadsheets, databases, matrices, and graphs / | QA76.9.B45 S27 2020 Big data : a beginner's introduction / | QA76.9.B45 .T35 2019 Big data and the computable society : algorithms and people in the digital world / |
Includes bibliographical references and index
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
"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