| 刊年 | 2018 |
| G/SMD | リモートファイル |
| 形態 | 1 online resource (xi, 264 p.) : ill. |
| シリーズ名 | The MIT Press essential knowledge series
|
| 注記 | 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
Restricted to subscribers or individual electronic text purchasers
A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges
Also available in print
Mode of access: World Wide Web
Print version record
URL:https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=8544144(Abstract with links to resource) |
| 出版国 | アメリカ合衆国 |
| 標題言語 | 英語 |
| 本文言語 | 英語 |
| 著者情報 | Kelleher, John D.
Tierney, Brendan
|
| ISBN | 9780262347020(: electronic bk)
|
| 無効/取消ISBN | 9780262347037(: electronic bk)
|
| 件名 | LCSH:Bigdata
LCSH:Machinelearning
LCSH:Datamining
LCSH:Quantitativeresearch
|
| NCID | 8544144 |
| IDENT | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=8544144 |