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Nicole Carlson

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titleconferencedate
Building one multitask model to rule them allPyData Global 20202020-11-11
A PyTorch library called Octopod streamlines training by shuffling multi-data set training batches, combining ResNet image heads with a burp text encoder and…
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Productionalizing a Data Science TeamPyData Austin 20192019-12-07
Process recommendations come from running two teams that grow from solo to 4 and from 2 to 10 and proving what scales: two-week sprints with daily standups and…
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How to spend ¾ of your yearly budget in 3 weeks: a PySpark cautionary talePyData NYC 20182018-10-11
A recommendation engine built with PySpark on Databricks reads orders then 1000x larger member pageviews from Snowflake and S3 and runs cosine similarity…
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When Worlds Collide: Productionalizing a Data Science ModelPyData Chicago 20162016-08-26
Built a production reliability score for Specialists with two components (retention and completion), persisted histories and a daily gauge visible in the app…
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A Quickstart Guide to PyMC3PyData Chicago 20162016-08-26
Step‑by‑step code for building and sampling linear, hierarchical linear, logistic and hierarchical logistic models using PyMC3 with the Theano backend…
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