Posted minimalistic, stefanl19, clstl, andreytagarev7 CommentsPosted in Team solutionsTeam solutions

CASE Ontotext, Team CENTROIDA

This paper presents a DNN-based approach to learn entities relations from distant-labeled free text. The proposed approach presents task-specific data cleaning, which despite effective in removing textual noise is preserving semantics necessary for the training process. The cleaned-up dataset is then used to build a number of bLSTM attention-based DNN models, hyper-tuned using recall as an optimization objective. The resulting models are then joined into an ensemble that deliver our best result

Posted vlabovLeave a commentPosted in Finance, LearnFinance, Learn

Introduction to Deep Learning Trading in Hedge Funds

Originally authored by Neven Pičuljan, Freelance Software Engineer at Toptal, this article also features an illustrative case study on how hedge funds can use such systems, presented through experiments. We will also consider how deep learning systems can be improved and how hedge funds can go about hiring talent to build those systems, i.e., what sort of background does deep learning talent need to have.