Jules S. Damji
where else to find them
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what they talk about
all 4 in the filters
where they keep going back
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never shared a talk
who talks about the same things
- (unnamed presenter)4 talks
- Robert Nishihara11 talks
- Dean Wampler29 talks
- Antoni Baum3 talks
- Ion Stoica40 talks
- Stephanie Wang9 talks
| title | conference | date |
|---|---|---|
| Introduction to Ray for distributed and machine learning applications in Python | PyData Seattle 2023 | 2023-04-26 |
Hands-on coding shows Ray Core 2.0 turning Python functions into distributed tasks, actors, object store primitives that run on laptop or cloud and integrate… | ||
| Introduction to Ray for distributed and machine learning applications in Python | PyData Seattle 2023 | 2023-04-26 |
Introductory, hands-on tour of Ray Core 2.0 walks code not concepts: it converts Python functions into remote functions and actors, demonstrates the shared… | ||
| Distributed Python with Ray Hands on with the Ray Core APIs | PyCon US 2022 | 2022-04-27 |
The session demonstrates concrete Ray Core use: writing remote functions and actors to build a working parameter server (3 workers, updates over ~20 epochs)… | ||
| The Future of Data Science/ML at Scale | Data Love 2021 | 2021-04-16 |
Argues that the legacy platform stack fails on increasing data volume, timeliness, and quality and that brittle hand-built ETL is the bottleneck; examines the… | ||
| The Future of Data Science/ML at Scale: A Look at MLflow, Delta Lake + Lakehouse | Data Love 2021 | 2021-04-16 |
Argument: the lakehouse unifies cheap object storage with a metadata layer and new query engines so one system serves BI, streaming, and ML without ETL… | ||
| Platform for Complete Machine Learning Lifecycle | PyData Miami 2019 | 2019-01-09 |
Open source MLflow from Databricks claims an end-to-end ML platform by providing concrete APIs and formats: a tracking API that logs params, metrics and… | ||
| nothing matches | ||