本课程将介绍各领域中的机器学习使用者都应该知道的基础演算法、理论及实务工具。
The course teaches the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know.
本课程涵盖了语法、语意及对话处理模型，著重在机器学习或是以语料库为基础的方法及演算法。
It covers syntactic, semantic and discourse processing models, emphasizing machine learning or corpus-based methods and algorithms.
在介绍测雨雷达反演雷达反射率因子的标准算法的基础上，对雷达反射率因子反演算法进行了改进。
Precipitation radar's standard algorithms of retrieving radar reflectivity factor are introduced first and an improved method is brought forward.
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