Nick Pentreath
where else to find them
what they talk about
all 7 in the filters
where they keep going back
- Berlin Buzzwords3 editions2018–2020
on a stage with
- Prashant Sharmaonce
who talks about the same things
nobody close enough yet
| title | conference | date |
|---|---|---|
| Native Dense Vector Scoring in Elasticsearch | Berlin Buzzwords 2020 | 2020-06-07 |
Elasticsearch stores ordered numeric embeddings as a dense_vector type since 7.0 and adds built-in scoring functions in 7.3 so dot‑product and cosineSimilarity… | ||
| Deploy end to end ML pipeline using Apache spark ... | Scale By The Bay 2019 | 2019-11-13 |
Deploys a full streaming ML pipeline that uses Apache Spark Structured Streaming, Kubernetes and Kafka to ingest simulated tweets, batch them for throughput… | ||
| Interview | Scale By The Bay 2019 | 2019-11-13 |
A live demo assembles streaming components, scales them on Kubernetes, and plugs an open‑source ML model into an end‑to‑end pipeline that actually runs… | ||
| Open standards for machine learning deployment | Berlin Buzzwords 2019 | 2019-06-16 |
Overview of practical deployment standards: PMML (1997) is XML, supported by 30+ vendors and handles classic models but limits deep nets and forces extensions… | ||
| Search and Recommendations: 3 Sides of the Same Coin #bbuzz | Berlin Buzzwords 2018 | 2018-06-11 |
Compares three concrete ways to serve recommendations with search: score then search (separate scorer and searcher, flexible models but round‑trip latency)… | ||
| Deploying Machine Learning Models in Practice | QCon São Paulo 2018 | 2018-05-09 |
Compares deployment options for real systems, not just models, and shows concrete tooling: exports and runtimes for scikit‑learn, Spark ML and TensorFlow using… | ||
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