Where the industry currently stands with regards to machine learning applications in finance from a quantitative viewpoint
Modern data analysis - structured and unstructured data and new models
Capabilities of machine learning tools in portfolio construction, trading, risk management and beyond
Challenges related to data infrastructure and technology
Who should Attend
Attendees with responsibilities in:
Portfolio Management
Machine Learning
Data Science
Asset Allocation
Quantitative Analytics
Financial Engineering
Innovation
Quantitative Modelling
Infrastructure and Technology
Forecasting
Past Events
Machine Learning in Finance: A Quantitative Approach - New York 2019 - 06-07 Jun 2019, 55 Broad Street - 22nd Floor (Infopro Digital), New York City, New York, United States (84609)
Important
Please, check "Machine Learning in Finance: A Quantitative Approach - New York" official website for possible changes, before making any traveling arrangements
