Image from Amazon.com
Machine learning : fundamental algorithms for supervised and unsupervised learning / Joshua Chapmann.
Material type:
Text[place of publication not identified] : CreateSpace Independent Publishing Platform, 2017Description: 78 pages : illustrations ; 23 cmContent type: - text
- unmediated
- volume
- 1548307750
- 9781548307752
- 003.3 CH.M 2017 23
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
Books
|
The Knowledge Hub Library | Computing | 003.3 CH.M 2017 (Browse shelf(Opens below)) | Available | 190254 |
Browsing The Knowledge Hub Library shelves, Collection: Computing Close shelf browser (Hides shelf browser)
|
|
|
|
|
|
|
||
| 001.42 IG.I 2017 Introduction to data science : a Python approach to concepts, techniques and applications / | 001.4202 RO.D 2015 Digital methods / | 001.4202 RO.D 2015 Digital methods / | 003.3 CH.M 2017 Machine learning : fundamental algorithms for supervised and unsupervised learning / | 003.54 MA.I 2003 Information theory, inference, and learning algorithms / | 003.54 MA.I 2003 Information theory, inference, and learning algorithms / | 004 / DA.P 2015 Projects in computing and information systems : |
There are no comments on this title.
Log in to your account to post a comment.
