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  4. Applied machine learning in 2019: automation, interpretability, and the AI-driven enterprise - DataBites Seminar

Feb

01

Friday

Applied machine learning in 2019: automation, interpretability, and the AI-driven enterprise - DataBites Seminar

5.00pm

Seminars

Staff, Students, Academics

Research Centre: Research Centre for Machine Learning

Speaker: Peter Simon from DataRobot

Abstract:

We will discuss current trends in applied machine learning — the growing importance of automated machine learning and model interpretability, and what to look out for as a data scientist embedded in a business — why building good models is just the start.

Bio:

Peter graduated from City's MSc in Data Science in 2017 and leads the financial markets data science practice at DataRobot. He works closely with banking, fintech, and asset management clients on numerous high-ROI use cases for DataRobot’s industry-leading automated machine learning platform.  Prior to re-focusing his career on data science, Peter gained over twenty years’ experience in senior quantitative research, portfolio management, trading, risk management and data science roles at investment banks and asset managers including Morgan Stanley, Warburg Pincus, Goldman Sachs, Credit Suisse, Lansdowne Partners and Invesco, as well as spending several years as a partner at a start-up global equities hedge fund.  His paper (co-authored with Cagatay Turkay), “Hunting High and Low: Visualising Shifting Correlations in Financial Markets”, was published in the July 2018 issue of Computer Graphics Forum.

video from this seminar can be found here

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When and where

5.00pm - 6.00pmFriday 1st February 2019

AG21 College Building City, University of London St John Street London EC1V 4PB United Kingdom