Predictive Modelling with Big Data
Financial companies have widely adopted big data analytics to uncover hidden patterns that can help them make more-informed business decisions. Best forecasting principles in risky and uncertain environments are introduced and some of the widely used methodologies in machine learning are also studied.
This training sprint covers a range of forecasting tools from small data and small models to big data and big models.
- Best forecasting principles
- How to avoid being fooled by randomness
- Slow tails and paradigm shifts
- Big versus small models
- Selecting good models with Big and small data
- Learn how to use Big Data to make better predictions in risky and uncertain environments.
Lessons Learned and Next Steps
The Training Sprint is a live online class of 3 hours (10-13 CET) using Zoom. This course is CPD accredited for 3 credits.
CIOs, investment committee members, fund managers, risk and performance analysts, quants
This Training Sprint will be offered by Panthera Solutions, a cooperation partner of the Capital Markets Academy. Registration, processing and payment are handled directly through Panthera Solutions. Standard payment method is PayPal. If this is not suitable for you, please contact Panthera Solutions directly here.
Prof. Dr. Gregory Gadzinski
Prof. Dr. Gregory Gadzinski verfügt über 12 Jahre akademische Erfahrung als Finanzprofessor an der Int. Universität von Monaco. Er publiziert unter anderem über Risikomessungen,Weiterlesen