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Details

Event:
The community meetup is an in-person social event for learning about ML and MLOps through live talks/discussion, as well as connecting with fellow MLOps enthusiasts.

Free beer and pizza will be provided to those who get there early enough.

Agenda:
5:30 - Doors Open
6:15 - MLOps talks
Dennis Roussel - Data Scientist @ Centreon - MLOps vs DevOps
According to many [1], 87% of Machine Learning Projects never make it to production. One of the main reasons is not taking into consideration the operational part of the process and only focusing on Machine Learning. For this first speaking session of the Toronto MLOps Meetup, I’d like to introduce the key concepts behind MLOps and how it differs from DevOps. We’ll illustrate this concept with a live coding example on how to make it in practice.[1] d2iq, breakdowndata, venturebeat, dzone

Sarah Khalid - AI PM @ Alayacare - Anyone can break into the ML industry
Sarah Khalid is a ML Product Manager in the home & healthcare space. Her talk will focus on how anyone, regardless of technical experience, can break into the AI/ML industry through the product management path.

7:00 - Networking
8:30 - Doors Close

Location:
OneEeleven, 325 Front St W

Time/Date:
5:30pm - 8:30pm
Tuesday Nov 22nd

Contact:
If you have any questions please message us via the Meetup app.

Thank you to our host Covalent and our community partner [Neptune.ai](http://neptune.ai/).

Events in Toronto, ON
AI/ML
Artificial Intelligence
Machine Learning
Data Science
Technology

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