Deep Learning in Analysing Large Structured Datasets for Investment Purposes
More than just algorithms. Separating myth from reality we will discuss a real-world example on how to use deep learning for investment decisions. Using a proprietary dataset of over 200,00 deals we leverage the power of new machine learning techniques to identify trades that are likely to outperform the market. Black box models might work, but as real money is on the line we will focus on understanding the reasons behind the decisions of the model.
Paulo is a Senior Economist and Data Scientist in the AI & ML community at M&G Prudential where he develops tools and models that leverage the power of data in investment decision making. He is a Chartered Financial Analyst and he is focused on bringing the ML paradigm into financial and economic modelling. Python does most of the work during the week, Monty Python during the weekend.