Interested in learning how to apply machine learning in trading or banking? Join Rady for an Innovation in Finance webinar entitled Machine Learning in Finance, held on May 12 and featuring Charles Elkan, founder and CEO of a fintech company and professor at UCSD. Machine learning (ML) as an academic research field is over 60 years old. So why is there so much excitement about it nowadays in the business world? What can technology really do now that was impossible ten years ago? In what ways are humans still fundamentally superior? If we want to apply ML in trading or in banking, where are the best opportunities? What are ten different traps to avoid falling into? How should an applied ML project be directed and organized? Should we use deep learning? Register today to get answers to these questions and more.Register now >>Pricing >>Members - $0Non-Members - $0Featuring >>Charles Elkan is the founder and CEO of a fintech company that has not yet been announced publicly. He is also an adjunct professor of computer science at the University of California, San Diego, where he was previously a tenured full professor. Until 2020 he was a managing director and the global head of machine learning at Goldman Sachs in New York, while from 2014 to 2018 he was the first Amazon Fellow, leading a team of over 30 scientists and engineers in Seattle, Palo Alto, and New York doing research and development in machine learning for both e-commerce and cloud computing. Professor Elkan earned his doctorate at Cornell University and his undergraduate degree at Cambridge University. His students have gone on to faculty positions at universities that include Columbia and Stanford, and to leading roles in industry that include managing the largest app store in the world.
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