Parag Namjoshi
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| title | conference | date |
|---|---|---|
| Time-series Feature Engineering Done Right | Data By the Bay 2016 | 2016-05-16 |
Workday builds retention-risk models using a temporal validation pipeline: train on events from 6–3 months back, validate on the last 3 months, and slide or… | ||
| DBTB INT Parag Namjoshi | Data By the Bay 2016 | 2016-05-16 |
Workday frames ten years of transaction logs as product-differentiating data and shows a practical shift from commoditized systems to using those logs for… | ||
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