Put AI to work
June 26-27, 2017: Training
June 27-29, 2017: Tutorials & Conference
New York, NY
Thomas Wiecki

Thomas Wiecki
Quantitative Researcher, Quantopian

@twiecki

Thomas Wiecki is the lead data science researcher at Quantopian, where he uses probabilistic programming and machine learning to help build the world’s first crowdsourced hedge fund. Among other open source projects, he is involved in the development of PyMC—a probabilistic programming framework written in Python. A recognized international speaker, Thomas has given talks at various conferences and meetups across the US, Europe, and Asia. He holds a PhD from Brown University.

Sessions

4:50pm5:30pm Wednesday, June 28, 2017
Implementing AI
Location: Gramercy East/West Level: Intermediate
Secondary topics:  Deep Learning, Financial services
Thomas Wiecki (Quantopian)
Average rating: ***..
(3.67, 3 ratings)
Expressing neural networks as a Bayesian model naturally instills uncertainty in its predictions. Thomas Wiecki demonstrates how to embed deep learning in the probabilistic programming framework PyMC3 to address uncertainty and nonstationarity. Read more.