Any estimate comes with a degree of uncertainty, but often that uncertainty is ignored. This is incredibly dangerous in finance, as a wrong estimate can be the difference between steady gains and massive losses.
Join us for "You Don't Know How Wrong You Are" on July 30th at 12pm EDT where Delaney Granizo-Mackenzie will cover some problems with how estimates are often taken and discuss ways to quantify the uncertainty.
To join us, RSVP here.
Clone-able Notebooks & Algorithms
This is part of Quantopian’s Summer Lecture Series. You can view the corresponding clone-able notebooks and algorithms that go along with this lecture now:
Speaker Details
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.
After the event, we will share the recording with the community. We hope you can join us!
