Deep Learning for Finance 作者:Sofien Kaabar 出版社:O'Reilly Media, Inc. 副标题:Creating Machine & Deep Learning Models for Trading in Python 出版年:2024-1 页数:350 装帧:Paperback ISBN:9781098148393 豆瓣评分 评价人数不足 评价: 写笔记
invariousmodels.Meanwhile,withintheMachineLearning(ML)field,DeepLearning (DL)startedgettingalotofattentionrecently,mostlyduetoitsoutperformanceoverthe classicalmodels.LotsofdifferentimplementationsofDLexisttoday,andthebroadinterest iscontinuing.FinanceisoneparticularareawhereDLmodelsstartedgettingtraction, ...
The Official Repository of Deep Learning for Finance - deep-learning-for-finance/README.md at main · sofienkaabar/deep-learning-for-finance
Heaton, JB, NG Polson & Jan Hendrik Witte (2017), `Deep learning for finance: deep portfolios', Applied Stochastic Models in Business and Industry 33(1), 3-12.Heaton, J. B.; Polson, N. G.; Witte, J. H. (2016), "Deep learning for finance: deep portfolios", Applied Stochastic ...
Deep learning for finance: deep portfolios We explore the use of deep learning hierarchical models for problems in financial prediction and classification. Financial prediction problems – such as t... JB Heaton,NG Polson,JH Witte - 《Applied Stochastic Models in Business & Industry》 被引量: 38...
Deep learning for finance: deep portfolios. We explore the use of deep learning hierarchical models for problems in financial prediction and classification. Financial prediction problems - such as th... Heaton,B J.,Polson,... - 《Applied Stochastic Models in Business & Industry》 被引量: 34...
Deep Learning Machine Learning Deep Learning Introduction to Data Science Deep Learning Xing Hao, Guigang Zhang, and Shang Ma International Journal of Semantic ComputingVol. 10, No. 03 Deep Learning Advanced Artificial Intelligence Machine Learning Fintech for Finance Professionals Artificial Intelligence ...
Chapter 10 Chapter 11 Chapter 3 Chapter 7 Chapter 8 Chapter 9 Historical Data README.md master_function.py deep-learning-for-finance This is the official repository for the book "Deep Learning for Finance" Releases No releases published
2020Keywords:Deep learningFinanceComputational intelligenceMachine learningFinancial applicationsAlgorithmic tradingPortfolio managementRisk assessmentFraud detectiona b s t r a c tComputational intelligence in finance has been a very popular topic for both academia and financialindustry in the last few decades...
Applying deep learning methods to these problems can produce more useful results than standard methods in finance. In particular, deep learning can detect and exploit interactions in the data that are, at least currently, invisible to any existing financial economic theory. 展开 ...