Venue
Virtual Event
Virtual Event

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Event Date Wed Jul 7 EDT - Thu Jul 8 EDT (12 months ago)
Region All
Details

Practical application of machine learning in quantitative finance particularly deep learning and ancillary features such as data, controls and governance

Why You Should Attend
• In the last 5 years machine learning for quantitative modelling and analytics has been one of the hottest topics in the financial sector with its ability to provide enhanced risk analysis as well as increase data supply and ensure effective usability of this supply. To start with, this field of work was filled with a resounding sense of scepticism and concern, however the last two years of research and development has meant that that the financial sector is starting to implement some of the more complex deep learning methods. With that in mind, this marcus evans conference will look to cover practical application of machine learning in quantitative finance particularly deep learning and ancillary features such as data, controls and governance.