TMLS 2022 Workshops

TMLS 2022 Workshops

Please reserve your virtual workshops here: https://bit.ly/TMLS2022Workshops Please register for the in-person workshops at this event

By Toronto Machine Learning Society (TMLS)

Location

To be announced

About this event

Please reserve your virtual workshops here: https://bit.ly/TMLS2022Workshops

See full agenda and abstracts here: https://www.torontomachinelearning.com/speakers/#agenda

Here is everything you need to know:

Nov. 22nd & 23rd: The workshops are held virtually on Hopin, you will get the access link 2 days prior

Nov. 28th: The in-person workshops are held at two locations, please arrive 10 mins prior to the start time:

Centre for Social Innovation -192 Spadina Ave., Toronto, ON M5T 2C7

  • 9:00 AM to 1 PM: Introduction to Kubernetes for MLOps - FULL
  • 9:30 AM to 11:30 AM: Open Source Intelligent Application Delivery on Kubernetes
  • 9:30 AM to 11:30 AM: Graph Neural Network Modeling in Drug Discovery Using PyTorch - FULL
  • 12:00 PM to 2 PM: Introduction to NLP & a step-by-step implementation of a Real-world Use Case from TELUS - FULL
  • 12:00 PM to 3 PM: GRAPH ML – The next level of Machine Learning - FULL
  • 02:30 PM to 4 PM: Time Series Anomaly Detection with Machine Learning - FULL
  • 03:00 PM to 4:30 PM: NLP for Healthcare: Challenges With Processing and De-Identifying Clinical Notes - FULL
  • 03:30 PM to 5 PM: Distributed Training with PyTorch
  • 05:00 PM to 6:30 PM: Train your models faster by learning how to profile and apply system-level optimizations - FULL
  • 05:30 PM to 7:30 PM: Iterating on NLP models from R&D to Production - FULL

Toronto Public Library - Fort York Branch 190 Fort York Blvd, Toronto, ON M5V 0E7

  • 10:00 AM to 11:30 AM: Demystifying De-Identification - FULL
  • 12:00 PM to 4 PM: Beyond the Basics: Data Visualization in Python - FULL

Organized by

TMLS events bring together business leaders, researchers and applied ML practitioners.

TMLS is a community of over 5,000 practitioners, researchers, entrepreneurs and executives. We work to highlight global opportunities and foster growth in local ecosystems.

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