🔥 Free Sponsored Virtual Workshops at Toronto Machine Learning Summit 2022 (TMLS)

November 11th, 2022 Daniela Lopez de Luise

Hi everyone,

TMLS is supported by our Sponsors who help make these summits happen. As part of this, we’ve given free access to the following sponsored virtual workshops, below.

You’re welcome to sign-up for these sessions, at no cost here.

Please keep in mind that while these sponsored sessions are OPEN TO PUBLIC our other committee-selected TMLS workshops are reserved for paid ticket holders. If you’d like to attend those as well, you can do so by registering here: https://www.torontomachinelearning.com/

We hope you enjoy these sessions!

(P.s we’ve snuck a couple of bonus workshop sessions alongside these as well);

Day 1:
FREE *SPONSORED* VIRTUAL WORKSHOPS (not-selected by committee)

  • A Guide to Putting Together a Continuous ML Stack
  • Observability is critical to MLOps
  • Introducing the Tenstorrent Model Zoo
  • Troubleshooting your ML Models in Production
  • Building Automated Model Life Cycles to Show Data Science Business Contribution, Minimize the Impact of Regulation & Governance Requirements,& Keep the Freedom of Innovation
  • De-Risk Your AI Efforts by Removing Friction From Your MLOps Processes
  • Automating Knowledge Work with Generative AI
  • ML Experimentation with DVC and VS Code

FREE NON-SPONSORED VIRTUAL WORKSHOPS (selected by committee)

  • Learning Embedded Representation of the Stock Correlation Matrix using Graph Machine Learning
  • Building a Fraud Detection Model with Feature Stores (Includes Bonus Case Study: How Shopify uses Feast to Manage its ML Features)
  • Cancer Image Segmentation
  • An Introduction to Drift Detection

Day 2:
NON-SPONSORED VIRTUAL WORKSHOPS (Must register a ticket first, here: )

  • Pre-Trained Multilingual Sequence-to-Sequence Models for NMT: Tips, Tricks and Challenges
  • Building AI Applications with Transformers
  • Bringing An AI System From Proof of Concept to Deployment and Beyond
  • Launching Scotiabank's Customer Facing Chatbot for a Large Organization: From Cold Start Problem to Implementation


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