Machine Learning for Adaptive Many-Core Machines - A Practical Approach
The overwhelming data produced everyday and the increasing performance and cost requirements of applications is transversal to a wide range of activities in society, from science to industry. In particular, the magnitude and complexity of the tasks that Machine Learning (ML) algorithms have to solve...
| Main Authors: | , |
|---|---|
| Corporate Author: | |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
|
| Edition: | 1st ed. 2015. |
| Series: | Studies in Big Data,
7 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-319-06938-8 |
Table of Contents:
- Introduction
- Supervised Learning
- Unsupervised and Semi-supervised Learning
- Large-Scale Machine Learning.