Welcome to our second online Pie & AI Event!
Pie & AI is a series of deeplearning.ai meetups independently hosted by community groups. This event is hosted by the Vienna Data Science Group.
There are a few steps to complete registration, please carefully follow the next steps:
(1) In Addition to RSVPing here, make sure you also register for the Webinar through this link:
Access to the meetup stream will be provided via email upon WebinarJam registration.
(2) Please complete your registration on the deeplearning.ai signup form here: https://docs.google.com/forms/d/e/1FAIpQLSfO_6MQv0B95fJjGwgKGKQCvUtoeY4JEk7LofZE8qGqdBxyKQ/viewform .
After the event, we will provide a limited course promo code for attendees who sign up through the form and complete a post-event survey sent by deeplearning.ai after the event. The code is for 50% off first-month subscription to any of deeplearning.ai’s courses on Coursera.
Deep Learning in Algorithmic Trading – Lessons Learned in the Real World
This talk provides a critical view on employing machine learning / deep learning methods in algorithmic trading. We highlight the particular challenges that we meet in this domain along with approaches to tackle some of these challenges in practice. Even though experience has shown that algorithmic trading using advanced machine learning can be successful, the crucial issue remains that predictive patterns utilizing market inefficiencies quickly become void as soon as competing market participants use them too. The conclusion is that the crucial advantage is – and has always been – to know more and to be faster than competitors.
Dr. Ulrich Bodenhofer
MSc (applied math, Johannes Kepler University, Linz, Austria, 1996)
PhD (applied math, Johannes Kepler University, Linz, Austria, 1998)
Since June 2018: Chief Artificial Intelligence Officer at QUOMATIC.AI (Linz, Austria)
17:00 – Introduction and Greeting video by Andrew Ng
17:15 – Main Talk
17:45 – Q&A