MLMath – Mathematical notation for Machine Learning
This package introduces a suggestion of a mathematical notation protocol for machine learning.
The field of machine learning has been evolving rapidly in recent years. Communication between different researchers and research groups becomes increasingly important. A key challenge for communication arises from inconsistent notation usages among different papers. This proposal suggests a standard for commonly used mathematical notation for machine learning.
|Licenses||The LaTeX Project Public License 1.3c|
|Copyright||2020 Zheng Ma, Zhiqin Xu, Tao Luo and Yaoyu Zhang|
|Contained in||MiKTeX as mlmath|
Download the contents of this package in one zip archive (101.4k).
Maybe you are interested in the following packages as well.
- eqnalign: Make eqnarray behave like align
- eqnarray: More generalised equation arrays with numbering
- thmtools: Extensions to theorem environments
- boldtensors: Bold latin and greek characters through simple prefix characters