Join us for the fall event of Montreal Machine Learning group! We have 6 talks in 2 sessions, given by a group of top scientists and entrepreneurs.
18h30: Session #1
20h00: sponsor & community announcements
20h05: Session #2
Soft drinks and light snacks are served. Event is free to attend, courtesy of PatternedScience, the sponsor of this event. Important notes at the bottom; please read in full.
~ Forough Karandish, M.Sc., CEO at Walux AI (Title: Real-world Applications of Computer Vision)
~ Philippe Desjardins-Proulx, Ph.D., post-doctoral researcher at UdeM (Title: Logic, Probability, and how to understand Biodiversity)
~ Naysan Saran, M.Sc., CEO at CANN Forecast (Title: Human Interpretable Machine Learning for decision-making in water management)
~ Nikolaj Van Omme, Ph.D., Founder at Funartech (Title: Machine Learning + Operations Research as future of AI)
~ Erika Braithwaite, Ph.D., CEO at Precision Analytics (Title: Big data in Big Pharma: what can machine learning and data visualization tell us about health?)
~ Michael Slinn, Distinguished Engineer at Micronautics Research Corporation (Title: EmpathyWorks – Towards an Event-Based Simulation/ML Hybrid Platform)
Program is subject to change. Summaries of talks and bios of presenters: https://www.montrealml.dev/meetup-agenda-oct-23-2019
We'll use meetup RSVPs to sign you in. If your meetup profile does not have your full name, you'll be asked to write your full name next to your first name or meetup pseudonym when you arrive for security reasons.
Complete profile advantage: meetup group members with names and introduction section properly filled out in their profiles will have priority in attending the meetup in case of limited capacity.
You can send your questions/comments to [masked] before or after the event; they'll be routed to the appropriate individuals (presenters, organizers, or sponsors).
Common important details posted at https://www.montrealml.dev/terms :
- Overbooking: this is a free-to-attend event and, as such, there is some overbooking. Seating capacity is about 60. Arrive early to get a seat if this is absolutely necessary for you;
- Photo/Video permission;
- Attendee selection process (in case of limited capacity).
Details are at the above URL.