... Error metrics for skewed classes(不对称性分类的错误评估) Trading off precision and recall(精确度和召回率的权衡) Data for machine learning(数据对于机器学习的重要性) ...
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Indeed, many of the technologies described in this report, from business analytics to recursive machine-learning to visualisation software, exist to make data more digestible for humans.
的确,在本报告中提到的很多技术,从商业分析到进行递归分析与可视化的软件,都是为了把数据处理得让人更容易理解。
We use Clojure for the data processing and machine learning research.
我们使用Clojure来进行数据处理和机器学习研究。
The robot used this data as an input for its machine learning algorithms and created a map between its facial expressions and the movements of its muscle motors.
该机器人用这些数据作为其机器学习算法的输入数据,产生一个脸部表情和相应肌肉马达运动之间的信息存储分布图。
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