At the heart of many risk applications are machine learning techniques used for risk classification, credit scoring, time series forecasting, estimating default probabilities, and data mining. In order to meet the demands of a modern risk infrastructure, MATLAB provides you with a complete platform that takes you from initial prototype all the way to business critical production system.
We will leverage advanced analytics, machine learning techniques, built-in methods to measure/forecast risk, and development tools in MATLAB to build applications quickly. Whether you specialize in risk management or are simply interested in building and deploying machine learning models, this seminar is ideal for you.
Previous knowledge of MATLAB is not required for this webinar.
|Event Type||Start Time||End Time|
|Webex||13 Oct 2021 - 2:00 PM EDT||13 Oct 2021 - 4:00 PM EDT|