On Present Use of Machine Learning based Automation in Finance

被引:0
|
作者
Tripathi, Vibha [1 ]
机构
[1] MIO, New York, NY 10167 USA
关键词
Data Analytics; Big Data; Artificial Intelligence (AI); Machine Learning; Deep Learning; Natural Language Processing; Artificial Neural Networks (ANN); Gradient Boosted Ensembles (GBM); Market Prediction; Portfolio Selection; Algorithmic Trading; Statistical Models; Biases; Data Confinement; Transfer Learning; Model Locality; Interpretability; Explainable AI;
D O I
10.5220/0008480504120418
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we survey the current known applications of Machine Learning based Data Analytics and automation in finance industry. We look into the challenges involved in furthering this technology, particularly in employing more Deep Learning approaches proven for successful automation in other domains. We enumerate observations on some of the barriers faced by the industry in effectively adopting and accelerating use of AI techniques, and finally propose more areas that we believe could further benefit from application of Machine Learning.
引用
收藏
页码:412 / 418
页数:7
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