Machine Learning London

Machine Learning in Finance, London - sessions cover opportunities and limitations, models, ML for trading, and future opportunities.

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Machine Learning in Finance

London, 4 - 5 September 2019

course guide  Apply now

This training course will provide delegates with an in-depth understanding of machine learning applications. This course will be a technical look at machine learning and provide suggestions and strategies for integrating it within your organisation.
The multi-tutor format will provide attendees with an understanding of key theory, models, and more advanced tools in machine learning solutions through a quantitative approach that will also consider portfolio construction, trading, risk management and other business areas.
 

What will you learn?
  • Machine learning methodology from a quantitative approach

  • Insight into machine learning models and how they can be applied in practice

  • Machine learning methods to address portfolio optimisation issues 

  • The relationship between machine learning and risk management 

  • Machine learning for trading 

  • The future opportunities there are in finance with machine learning

 

View course guide

Who Should Attend
  • Machine learning

  • Portfolio management

  • Asset allocation

  • Data science

  • Financial engineering

  • Quantitative analytics

  • Quantitative modelling

  • Innovation

  • Forecasting

  • Infrastructure and technology

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Course Highlights
  • Machine Learning: Opportunities, Limitations and Applications 

  • Machine Learning Models 

  • Machine Learning for Risk Management

  • Machine Learning in Finance: Putting it into Practice 

  • Utilising Machine Learning for Model Validation and Monitoring of Valuation Models 

  • Machine Learning and Trading 

  • Machine Learning and Portfolio Construction 

  • Machine Learning in Finance: Future Opportunities 

View course agenda

CPD / CPE Accreditation

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CPD Accreditation

This course is CPD (Continued Professional Development) accredited and will allow you to earn up to 12 credits. One credit is awarded for every hour of learning at the event.

CPE Member

CPE Accreditation

This course is CPE (Continuing Professional Education) accredited and will allow you to earn up to 12 credits. One credit is awarded for every hour of learning at the event in accordance with the standards of the National Registry of CPE Sponsors.

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Countdown to Course

04 September 2019
2019-09-04 09:42:23 +0100