Gilberto Batres-Estrada
Webstep AB, Sweden
Biography
Gilberto Batres-Estrada has received MSc in Theoretical Physics and MSc in Engineering with specialization in Applied Mathematics and Statistics. He works as a Consultant Data Scientist and his domain of expertise is deep learning. He also conducts independent research in deep learning and reinforcement learning in finance with researchers at Columbia University, NY, USA. He has also made contributions to the book Big Data and Machine Learning in Quantitative Investment, with focus on long short term memory networks. Previously he has worked in finance as Quantitative Analyst and also worked building trading algorithms for a hedge fund.
Abstract
Abstract : Long short term memory networks: Theory and applications