Applied unsupervised learning with Python : discover hidden patterns and relationships in unstructured data with Python
(eBook)
Author
Contributors
Published
Birmingham, UK : Packt Publishing, 2019.
Physical Desc
1 online resource (483 pages)
Status
More Details
Format
eBook
Language
English
ISBN
9781789958379 (e-book)
Notes
General Note
Includes index.
Local note
Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
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Citations
APA Citation, 7th Edition (style guide)
Johnston, B., Jones, A., & Kruger, C. (2019). Applied unsupervised learning with Python: discover hidden patterns and relationships in unstructured data with Python . Packt Publishing.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Johnston, Benjamin, Aaron, Jones and Christopher, Kruger. 2019. Applied Unsupervised Learning With Python: Discover Hidden Patterns and Relationships in Unstructured Data With Python. Packt Publishing.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Johnston, Benjamin, Aaron, Jones and Christopher, Kruger. Applied Unsupervised Learning With Python: Discover Hidden Patterns and Relationships in Unstructured Data With Python Packt Publishing, 2019.
MLA Citation, 9th Edition (style guide)Johnston, Benjamin,, Aaron Jones, and Christopher Kruger. Applied Unsupervised Learning With Python: Discover Hidden Patterns and Relationships in Unstructured Data With Python Packt Publishing, 2019.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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Grouped Work ID
627d06b3-10b0-79cc-d36a-2df0de8f2a44-eng
Grouping Information
| Grouped Work ID | 627d06b3-10b0-79cc-d36a-2df0de8f2a44-eng |
|---|---|
| Full title | applied unsupervised learning with python discover hidden patterns and relationships in unstructured data with python |
| Author | johnston benjamin |
| Grouping Category | book |
| Last Update | 2022-06-07 21:23:19PM |
| Last Indexed | 2024-06-15 03:45:09AM |
Book Cover Information
| Image Source | syndetics |
|---|---|
| First Loaded | Dec 16, 2023 |
| Last Used | Apr 17, 2024 |
Marc Record
| First Detected | Oct 14, 2021 01:23:29 PM |
|---|---|
| Last File Modification Time | Nov 19, 2021 12:51:40 PM |
MARC Record
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|---|---|---|---|
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| 003 | MiAaPQ | ||
| 005 | 20200520144314.0 | ||
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| 007 | cr cnu|||||||| | ||
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| 020 | |z 9781789952292 | ||
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| 100 | 1 | |a Johnston, Benjamin,|e author. | |
| 245 | 1 | 0 | |a Applied unsupervised learning with Python :|b discover hidden patterns and relationships in unstructured data with Python /|c Benjamin Johnston, Aaron Jones, Christopher Kruger. |
| 264 | 1 | |a Birmingham, UK :|b Packt Publishing,|c 2019. | |
| 300 | |a 1 online resource (483 pages) | ||
| 336 | |a text|b txt|2 rdacontent | ||
| 337 | |a computer|b c|2 rdamedia | ||
| 338 | |a online resource|b cr|2 rdacarrier | ||
| 500 | |a Includes index. | ||
| 588 | |a Description based on print version record. | ||
| 590 | |a Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. | ||
| 650 | 0 | |a Python (Computer program language) | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Jones, Aaron,|e author. | |
| 700 | 1 | |a Kruger, Christopher,|e author. | |
| 776 | 0 | 8 | |i Print version:|a Johnston, Benjamin.|t Applied unsupervised learning with Python : discover hidden patterns and relationships in unstructured data with Python.|d Birmingham, UK : Packt Publishing, 2019 |h 483 pages |z 9781789952292 |
| 797 | 2 | |a ProQuest (Firm) | |
| 856 | 4 | 0 | |u http://ebookcentral.proquest.com/lib/yavapai-ebooks/detail.action?docID=5781350|x Yavapai College|y Yavapai College users click here |
| 856 | 4 | 0 | |u http://ebookcentral.proquest.com/lib/prescottcollege-ebooks/detail.action?docID=5781350|x Prescott College|y Prescott College users click here |
| 856 | 4 | 0 | |u http://ebookcentral.proquest.com/lib/yln-ebooks/detail.action?docID=5781350|x Yavapai Library Network|y All other users click here |
