Online Machine Learning by Unknown

Author:Unknown
Language: eng
Format: epub
ISBN: 9789819970070
Publisher: Springer Nature Singapore

2.

Increased implementation efforts (more intricate implementation and maintenance).

3.

Complex monitoring (continuous quality control is necessary).

Moreover, there exist scenarios where the online paradigm is fundamentally non-applicable. For instance, data may not always become sequentially available. In these circumstances, the deployment of OML is only reasonable for out-of-core issues, wherein the available hardware (memory) is inadequate for data processing.

Note: Practical Application

OML should be employed in applications where its strengths and additional capabilities over BML can be harnessed effectively. Implementing a traditional BML problem using an OML algorithm does not inherently confer any benefits.

Download

Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.