ML on Time-series Data/Serving with TensorFlow + 4 Lightning Talks

This is a past event

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Details

Allô ML community! Join us for a reboot of this meetup group and the first meetup of 2019. We have a main presentation and 4 lightning talks.

Tentative schedule:
18h15-18h30: arrival/registration
18h15-18h45: soft drinks/snacks & networking
18h45-19h30: main presentation/tutorial
19h30-19h45: break
19h45-21h00: announcements and lightning talks
21h00-21h30: networking/casual brainstorming

Mandatory registration: https://goo.gl/forms/u7dbnXHT6xwzemJJ3

On the program:
- Main presentation by Masood Krohy (Title: Seq2seq Model on Time-series Data: Training and Serving with TensorFlow)

- Lightning talks:
~ Jules Lambert (Title: Tutorial on Lime model explanation)
~ Jenny Midwinter (Title: CNN Based Auto-Pilot for a Wheelchair)
~ Grant McKenzie (Title: A machine learning approach to identifying urban neighborhood names)
~ Freddy Lecue (Title: On the importance of explanation for AI adoption in industry)

Summaries of talks and bios of presenters:
https://www.montrealml.dev/meetup-agenda-april-9th-2019

Important notes - please read in full:

RSVP on this site, then confirm with form submission: after a Yes RSVP to temporarily reserve your seat, you have 24 hours to fill and send the above registration form; if not received within the delay, your RSVP may be changed to No (and your seat may be given automatically to the next in line). We use the responses to the above registration form to sign you in at the entry. This meetup group is used to facilitate networking between attendees.

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.

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. More details are at the above URL
- Photo/Video permission
- Attendee selection process (in case of limited capacity)