Juliet Hougland
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- Duarte Carmo4 talks
- Dean Pleban5 talks
- Marianna Diachuk7 talks
- Alessandra Bilardi5 talks
- Jakub Hava3 talks
- Julien Simon14 talks
| title | conference | date |
|---|---|---|
| Production Model Deployment | GOTO Chicago 2018 | 2018-04-24 |
Describes concrete deployment choices: put models behind an API scoring service (stateless, scale by load balancer), write batch outputs to files for… | ||
| Apache Spark and ML workflows | Jazoon Zurich Autumn 2017 | 2017-10-26 |
Shows how to train churn models from a telco CSV using Spark MLlib pipelines (string indexer, one‑hot encoding, VectorAssembler) and how to export/apply models… | ||
| Juliet Hougland, Data Scientist, Cloudera | MLconf NYC 2015 | 2015-03-27 |
Matrix Decomposition at Scale: Matrix decomposition is an incredibly common task in machine learning, appearing everywhere including recommendation algorithms… | ||
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