HAO NI
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An Introduction to Machine Learning in Quantitative Finance
Learning the effects of data streams using the LogSig-RNN model
Mathematical and Computational Modelling for Clinical Data Analysis
Learning stochastic differential equations using RNN with log signature features
Modelling the effects of data streams using rough paths theory and its application in finance
The Future of Algorithmic Learning at Oxford Computer Science Conference 2019
Learning to predict the effects of data streams using the Logsig-RNN model
Learning to Approximate Stochastic Differential Equations
Learning to Approximate the Stochastic Differential Equations
Learning to Approximate the Stochastic Differential Equations
Detection of Transient Data using the Signature Features
Learning to Approximate Controlled Systems
The signature based approach to the supervised learning problems
Modelling the Effects of Data Streams using the signature feature and its Applications
Case Study on Financial applications - Meetup for Machine Learning in Quantitative Finance
Practice Session (Part 2) - Meetup for Machine Learning in Quantitative Finance
Supervised Learning (Part 2) - Meetup for Machine Learning in Quantitative Finance
Practice Session (Part 1) - Meetup for Machine Learning in Quantitative Finance
An AI presentation to Tsinghua University School of Economics and Management EMBA programme
Supervised Learning (Part 1) - Meetup for Machine Learning in Quantitative Finance
Supervised Learning on the Path Space and its Applications
Meetup for Machine Learning in Quantitative Finance
RESEARCH PROJECTS
Academic visit to NSU for a joint UCL-National Research Foundation(NRF) workshop
The Alan Turing Institute Project
Academic presentation in China Guangzhou
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