Conferences / Toronto Machine Learning Summit (TMLS)
6th Annual TMLS 2022
Nov 22–30, 2022 · The Carlu, Toronto, ON, Canada
- Conference
- Toronto Machine Learning Summit (TMLS) Data science & ML
- Dates
- Nov 22, 2022 – Nov 30, 2022
- Venue
- The Carlu
- Place
- Toronto, ON, Canada
- Format
- Hybrid
- Status
- Past
- Attendance
- —
- Website
- torontomachinelearning.com
- Recorded
- 24 sponsors · 15 speaker appearances
- Notes
- Nov 22-23 virtual workshops; Nov 28 in-person workshops; Nov 29-30 expo and conference at The Carlu (444 Yonge St). Speakers: featured speakers on the homepage only.
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| Full Conference Pass & Socials (lowest listed) | CA$420 | — | Homepage: 'Full Conference Pass & Socials: $420 - $700'; currency not stated, Canadian event sold via Eventbrite Canada | web.archive.org |
| Full Conference Pass & Socials (highest listed) | CA$700 | — | see above | web.archive.org |
Sponsors 24
Platinum 1
- Aporia · Platinum Sponsor
Gold 8
Silver 7
- Armilla AI · Silver Sponsors
- Continual · Silver Sponsors
- Georgian · Silver Sponsors
- SpotHero · Silver Sponsors
- Tenstorrent · Silver Sponsors
- Vian AI · Silver Sponsors
- York University School of Continuing Studies · Silver Sponsors
Bronze 6
- Autodesk · Bronze Sponsors
- Begin · Bronze Sponsors
- Covalent · Bronze Sponsors
- Private AI · Bronze Sponsors
- Schulich School of Business · Bronze Sponsors
- SharpestMinds · Bronze Sponsors
Community 2
- Vector Institute · Community Partners
- Women in AI & Robotics · Community Partners
Speakers and talks 15
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Anne Martel | University of Toronto | Speaker | Artificial Intelligence And Digital Pathology: Making The Most of Limited Annotated Data | — |
| Bhaskarjit Sarmah | BlackRock | Speaker | Workshop: Learning Embedded Representation of the Stock Correlation Matrix using Graph Machine Learning | — |
| Bo Chang | Speaker | Latent User Intent Modeling in Recommender Systems | — | |
| Chip Huyen | Claypot AI | Speaker | Real-time Machine Learning: Architecture and Challenges | — |
| Chloe Pou-Prom | Unity Health Toronto | Speaker | Workshop: NLP for Healthcare: Challenges With Processing and De-Identifying Clinical Notes | — |
| Danny Chiao | Tecton/Feast | Speaker | Workshop: Building a Movie Recommendation System with Feature Stores | — |
| Eric Hart | Anheuser-Busch | Speaker | Optimal Beer Pricing: An Optimization Layer for Price Elasticities | — |
| Ihab Ilyas | Apple | Speaker | Saga: Continuous Construction and Serving of Large Scale Knowledge Graphs | — |
| Muhammad Mamdan | University of Toronto | Speaker | Saving Lives with ML: Applications and Learnings | — |
| Nikita Medvedev | The Coca-Cola Company | Speaker | The Application of Mobile Location Data for Vending Machine Site Selection and Revenue Optimization. | — |
| Patricia Thaine | Private AI | Speaker | Workshop: Demystifying De-Identification | — |
| Shiming Ren | Amazon/Twitch | Speaker | From Silo to Collaboration – Building Tooling to Support Distributed ML Teams at Twitch | — |
| Stefanie Molin | Bloomberg | Speaker | Workshop: Beyond the Basics: Data Visualization in Python | — |
| Valerii Podymov | FreshBooks | Speaker | Builidng a Fully Automated ML Platform Using Kubeflow and Declarative Approach to Development of End-to-End ML Pipelines | — |
| Varun Raj Kompella | Sony | Speaker | Outracing Champion Gran Turismo Drivers With Deep Reinforcement Learning | — |