Carlos Guestrin
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- Julien Simon14 talks
- Josh Wills8 talks
- Danny Bickson2 talks
- Jens Dittrich3 talks
- Xavier Tordoir4 talks
- Denny Lee10 talks
| title | conference | date |
|---|---|---|
| How Can We Trust Machine Learning? Exploration, Evaluation... | MLconf 2016 Seattle | 2016-05-20 |
Companies use GraphLab Create to train a recommender in minutes and ship it to AWS as a real‑time microservice via Predictive Services (demo uses a 3‑node… | ||
| DBTB INT Carlos Guestrin r | Data By the Bay 2016 | 2016-05-16 |
Argues the field hits a phase transition from academic work to real-world intelligent apps, with winners like early Amazon recommender systems and Uber showing… | ||
| Keynote: How Can We Trust Machine Learning? | Data By the Bay 2016 | 2016-05-16 |
Argues a concrete path to trust: uses GraphLab Create and deployable microservices to take models from laptop to real-time AWS services, shows a deep network… | ||
| Carlos Guestrin, CEO of Dato Inc. @ MLconf SEA | MLconf Seattle 2015 | 2015-05-01 |
Shows that a columnar SFrame compresses real datasets far smaller than gzip and lets 931 million-row, 950-column biology tables run aggregations in ~2 seconds… | ||
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