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Kathy苏苏 · 2023年03月23日

请翻译下这句

NO.PZ2022120201000001

问题如下:

a. What are the main differences between machine learning and more conventional econometric techniques?

b. For what kinds of problems would machine learning likely be more suitable than conventional econometric modeling?

选项:

解释:

a. Under conventional econometric approaches, the researcher selects a particular model or hypothesis and tests whether it is consistent with available data.There is an emphasis on establishing causality. Under machine-learning approaches, the emphasis is on letting the data decide the features to include in the model, with very few assumptions or theory. Establishing causality is less important. Instead, the focus is on the model’s prediction or classification accuracy.

b. Machine-learning techniques have advantages when applied to problems where there is little theory regarding the nature of a relationship or which features are relevant. It is used when the number of data points and the number of features are large. Machine learning might also be preferable when the relationships between features (and targets) are nonlinear.

Machine-learning techniques have advantages when applied to problems where there is little theory regarding the nature of a relationship or which features are relevant.请翻译下这句,谢谢。

1 个答案

李坏_品职助教 · 2023年03月23日

嗨,爱思考的PZer你好:


这句话的意思是:当模型的特征参数(features)相互之间的关系并不明了的时候(就是说我们并不知道该用什么理论去研究模型),机器学习算法变得有优势了。


机器学习算法中的无监督机器学习专门就是为了解决我们事前完全不了解的数据难题,由计算机算法自己去“琢磨”数据背后的规律和关系,不需要人为添加任何理论进去。

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