Supervised and unsupervised learning for data science
This book covers the state of the art in learning algorithms with an inclusion of semi-supervised methods to provide a broad scope of clustering and classification solutions for big data applications. Case studies and best practices are included along with theoretical models of learning for a compre...
| Other Authors: | Berry, Michael W., Mohamed, Azlinah Hj., Wah, Yap Bee., SpringerLink (Online service) |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer,
2020.
Cham : 2020. |
| Physical Description: |
1 online resource (191 pages). |
| Series: |
Unsupervised and semi-supervised learning.
|
| Subjects: |
CMU Electronic Access
Electronic Resource Click Here| Location | Call Number: | Status |
|---|---|---|
| CMU Electronic Access | Available |