Machine Learning Models and Algorithms for Big Data Classification Thinking with Examples for Effective Learning /
This book presents machine learning models and algorithms to address big data classification problems. Existing machine learning techniques like the decision tree (a hierarchical approach), random forest (an ensemble hierarchical approach), and deep learning (a layered approach) are highly suitable...
| Main Author: | Suthaharan, Shan (Author) |
|---|---|
| Corporate Author: | SpringerLink (Online service) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boston, MA :
Springer US : Imprint: Springer,
2016.
|
| Edition: | 1st ed. 2016. |
| Series: | Integrated Series in Information Systems,
36 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Similar Items
-
Advances in Machine Learning and Data Analysis
Published: (2010) -
Privacy and Security Issues in Data Mining and Machine Learning International ECML/PKDD Workshop, PSDML 2010, Barcelona, Spain, September 24, 2010. Revised Selected Papers /
Published: (2011) -
Machine Learning with R
by: Ghatak, Abhijit
Published: (2017) -
Perspectives in Business Informatics Research 9th International Conference, BIR 2010, Rostock Germany, September 29–October 1, 2010. Proceedings /
Published: (2010) -
Machine Learning, Optimization, and Big Data First International Workshop, MOD 2015, Taormina, Sicily, Italy, July 21-23, 2015, Revised Selected Papers /
Published: (2015)