You’ve constructed a model and are getting significant p-values. Everything looks good, but then your algorithm starts losing money. Sometimes the way a model is constructed can lead to a complete breakdown in the statistics used to evaluate them. Join us on August 6th at 12pm EDT for this live webinar, and learn more about the warning signs to watch out for.
This talk is part of the Quantopian’s Summer Lecture Series. We will release a clone-able notebook and algorithm to go along with this lecture shortly.
To join us, RSVP here.
Delaney Granizo-Mackenzie will be presenting. Delaney is an engineer at Quantopian whose focus is on how Quantopian can be used as a teaching tool. After studying computer science at Princeton, Delaney joined Quantopian in 2014. Since then he has led successful course integrations at MIT Sloan and Stanford, and is planning on expanding to many more schools this fall. Delaney’s background includes 7 years of academic research at a bioinformatics lab, and a strong focus on statistics and machine learning.