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Data science / John D. Kelleher and Brendan Tierney.
Material type:
TextSeries: The MIT Press essential knowledge seriesPublisher: Cambridge, Massachusetts : The MIT Press, [2018]Description: xi, 264 pages : illustrations ; 18 cmContent type: - text
- unmediated
- volume
- 9780262535434 (pbk. : alk. paper)
- 005.7 23
| Item type | Current library | Call number | Materials specified | Status | Date due | Barcode | |
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Books
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MYCC Library General stacks | 005.7 KEL 2018 (Browse shelf(Opens below)) | Available | ||||
Reference
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MYCC Library Reference | 005.7 KEL 2018 REF (Browse shelf(Opens below)) | Not for loan |
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| 001.42 BOO 2008 REF The craft of research / | 001.42 MAC 2012 REF How to find out anything : from extreme Google searches to scouring government documents, a guide to uncovering anything about everyone and everything / | 001.4226 KNA 2015 REF Storytelling with data : a data visualization guide for business professionals / | 005.7 KEL 2018 REF Data science / | 005.8 HAN 2020 REF Handbook of big data privacy | 005.8 PAL 2021 REF Practical threat intelligence and data-driven threat hunting : a hands-on guide to threat hunting with the ATT&CK framework and open source tools | 005.8 VEL 2020 REF Privacy is power : why and how you should take back control of your data / |
Includes bibliographical references and index.
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