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TTU99: The Good and Bad of Machine Learning ft. Robert Sinnott of AlphaSimplex – 1of2

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Sinopse

From the very beginning, Robert Sinnott has studied the movement of the markets and how to anticipate their changes. Robert earned both an A.B. and an A.M. in Statistics from Harvard University, where he focused on statistical machine learning, capital markets, and time series analysis.In our conversation, my co-host Katy Kaminski and I talk with Robert about how he has used these skills to redesign AlphaSimplex’s performance analytics infrastructure and develop smarter machine learning processes, and how Robert employs this data with such success.-----EXCEPTIONAL RESOURCE: Find Out How to Build a Safer & Better Performing Portfolio using this FREE NEW Portfolio Builder ToolIn This Episode, You’ll Learn:The history behind AlphaSimplex and how it beganHow Robert got involved with AlphaSimplexHow the surrounding technology industry affects Robert’s workWhat lessons Robert has learned from his time at AlphaSimplexHow Robert spends his time outside of his workHow adaptive markets shape the way Robert worksWhy