Course description
Live virtual course where participants will be able to understand the probability and statistics of machine learning, as well as identifying current applications of machine learning in finance.
Sessions will focus on the importance of supervised and unsupervised learning models for participants to develop a deep knowledge of new advancements. Discussion will also include the neural nets and volatility prediction, as well as learning and option pricing surrounding proper implementation within your organisation.
Our veteran speaker,Jesús Calderón, a managing director from Maclear Data Solution, will teach delegates practical insights on the challenges ML presents for financial institutions and what limitations can arise when applying ML methods in risk management. Advancements have been significantly developing in finance and financial regulation, and Calderón will focus on the importance of achieving ML explainability in a world that demands transparency. (or ‘where transparency is in high-demand).
This training course will provide the roles, tasks, and skills necessary to implement machine learning models in banking, risk management, and modelling.
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