金融中的机器学习

Dhruvil Trivedi, Ashish Bhagchandani, Rutul Ganatra, M. Mehta
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引用次数: 7

摘要

机器学习的现代发展增加了其使用的多样性。在机器学习的帮助下,人类很容易分析和解码适当的信息。本文提出了一种预测金融市场分析的算法。算法采用多变量Logistic回归方法。在这种方法中,我们可以借助金融市场之前的数据集来预测未来的分析,这无疑会减少人工的努力和误差范围。该算法的提出是为了在不久的将来产生影响,使人类更容易研究金融市场。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine Learning in Finance
The modern developments in machine learning have increased the diversity of its usage. With the help of machine learning it has become easy for mankind to analyse and decode the proper information. In this paper we have created an algorithm which can predict the analysis of financial market. The method used in algorithm is Logistic Regression to multiple variables. In this method, with the help of previous datasets of financial market we can predict the future analysis, which will surely decrease the human efforts and margin of error. The proposal of this algorithm is to create an impact in the near future and to make easy for humans to study the financial market.
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