Conferences / Toronto Machine Learning Summit (TMLS)
TMLS Annual Conference & Expo 2020
Nov 16–19, 2020 Online
- Conference
- Toronto Machine Learning Summit (TMLS) Data science & ML
- Dates
- Nov 16, 2020 – Nov 19, 2020
- Venue
- —
- Place
- —
- Format
- Online
- Status
- Past
- Attendance
- —
- Website
- torontomachinelearning.com
- Recorded
- 8 sponsors · 24 speaker appearances
- Notes
- Virtual. Speakers: featured speakers shown on the homepage only.
Ticket prices
No ticket prices recorded
Sponsors 8
Platinum 1
- Amazon Web Services · Platinum Sponsor
Gold 6
- Innodata · Gold Sponsors
- Loblaw Digital · Gold Sponsors
- RBC Borealis · Gold Sponsors
- Sensibill · Gold Sponsors
- WeCloudData · Gold Sponsors
- Xanadu · Gold Sponsors
Silver 1
- AIR MILES (LoyaltyOne) · Silver Sponsors
Speakers and talks 24
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Alan Aspuru-Guzik | University of Toronto | Speaker | — | — |
| Aniththa Umamahesan | Microsoft | Speaker | Workshop: Machine Learning Simplified: From Ideation to Deployment in Minutes with Automated Machine Learning | — |
| Azin Asgarian | Georgian | Speaker | Overcoming the Cold Start Problem: How to Make New Tasks Tractable | — |
| Ben Goertzel | Singularity NET | Speaker | Neural-Symbolic AI for Creativity, Generalization and Transfer Learning | — |
| Bradley Rees | NVIDIA | Speaker | Workshop: Reaching Lightspeed Data Science: ETL, ML, and Graph with NVIDIA RAPIDS | — |
| Chip Huyen | Snorkel AI | Speaker | Design, Data, Development, Deployment: Breaking Down the Machine Learning Production Pipeline | — |
| Cynthia Rudin | Duke University | Speaker | Interpretability vs. Explainability in Machine Learning | — |
| Dana Movshovitz-Attias | Speaker | Fine-Grained Emotion Detection for Products & Research | — | |
| Elle O’Brien | Iterative | Speaker | Workshop: How to Automate Machine Learning with GitHub Actions | — |
| Gonzalo Corrales | Rogers Communications | Speaker | Predicting Which Customers Will Experience a Technical Issue Tomorrow and Will Call as A Result | — |
| Jill Cates | Shopify | Speaker | Workshop: Building a MovieLens Recommender System | — |
| Jose Antonio Murillo Garza | Banorte | Speaker | Banorte’s AI Transformation Journey: How the Analytics Team of this Bank Yielded 3 Billion USD Revenue During the Past Five Years | — |
| Joshua Podulska | Domino Data Lab | Speaker | Workshop: Managing Data Science in the Enterprise | — |
| Mai B Phan | Toronto Police Service | Speaker | Race Data As An Anti-Racism Tool | — |
| Melanie Mitchell | Portland State University | Speaker | Abstraction and Analogy in Natural and Artificial Intelligence | — |
| Nadia Fawaz | Speaker | Inclusive Search and Recommendations | — | |
| Paige Bailey | Speaker | Everything You Need to Know About New Libraries in the Keras Ecosystem | — | |
| Patrick Cullen | The Washington Post | Speaker | Raising the Quality of Online Conversations with Machine Learning | — |
| Pooja Bhojwani | Scotiabank | Speaker | Workshop: Leveraging Pretrained Language Models for Natural Language Understanding | — |
| Rich Caruana | Microsoft | Speaker | Friends Don’t Let Friends Deploy Black-Box Models: The Importance of Intelligibility in Machine Learning for Healthcare | — |
| Shreyansh Daftry | NASA | Speaker | Machine Learning for Space Exploration | — |
| Stefan Natu | Amazon Web Services | Speaker | Workshop: Build, Train, and Deploy Models with Amazon SageMaker | — |
| Sujith Ravi | Amazon Web Services | Speaker | Efficient AI: Building Efficient Neural Computing Machines on the Edge & Cloud | — |
| Wenming Ye | Amazon Web Services | Speaker | Workshop: Put Deep Learning to Work: Accelerate Deep Learning through AWS SageMaker and ML Services | — |