Machine Learning in Finance: A Quantitative Approach - New York 2019 is a course that covers topics such as:
- Classical and advanced models
- 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
Machine Learning in Finance: A Quantitative Approach - New York 2019 brings together attendees with responsibilities in:
- Portfolio Management
- Machine Learning
- Data Science
- Asset Allocation
- Quantitative Analytics
- Financial Engineering
- Innovation
- Quantitative Modelling
- Infrastructure and Technology
- Forecasting
