Machine Learning in Finance: A Quantitative Approach - New York

Machine Learning in Finance: A Quantitative Approach - New York 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 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

Future Events

Machine Learning in Finance: A Quantitative Approach - New York 2020

Important

Please, check the official conference website for possible changes, before you make any traveling arrangements

Prices are for evaluation only.

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