Dat Tran
where else to find them
website:https://dat-tran.com/
github:datitran
x:datitran
linkedin:dat-tran-a1602320
speakerdeck:datitran
devto:datitran
what they talk about
all 8 in the filters
where they keep going back
no series more than once — all 6 in the filters
on a stage with
who talks about the same things
- Joshua Arvin Lat20 talks
- Alejandro Saucedo33 talks
- Sara Robinson17 talks
- Vincent D Warmerdam22 talks
- Tess Ferrandez-Norlander24 talks
- Ben Lorica15 talks
| title | conference | date |
|---|---|---|
| How to Implement a Production Ready Deep Learning Model in 12 Weeks | Øredev 2022 | 2022-11-08 |
Claims a production-ready image aesthetic classifier in 12 weeks by combining Lean Startup cycles with ML engineering. Uses a pretrained CNN (initially VGG16… | ||
| Image Processing Service: From On-Premise To Cloud Function With Golang | GopherCon Vietnam 2019 | 2019-11-02 |
Image processing moves from a monolithic Python app to small Go functions behind an API Gateway, writing standardized files to Google Cloud Storage and serving… | ||
| Saving Human Lives with the IoT | Cloud Foundry Summit Europe 2016 | 2016-09-26 |
Project targets predicting wet or slippery road conditions to reduce part of the 1.2 million annual road deaths by combining car telemetry and weather feeds… | ||
| How you really get your data science models into production the cool way! | PyData San Francisco 2016 | 2016-08-12 |
Builds an API-first microservices pipeline that actually serves models: a Keras MLP on the MNIST dataset reaches ~98% accuracy, model artifacts go into Redis… | ||
| PySpark in Practice | PyData Berlin 2016 | 2016-05-20 |
Shows concrete PySpark choices and outcomes: configuration recipes for a 6‑node 64 GB cluster with 1.5× executor overcommit and per‑executor 512 MB Python… | ||
| PySpark in Practice | PyData London 2016 | 2016-05-06 |
Clear, actionable takeaways: configuration recipes (enable compression and speculative execution, reduce Python concurrency to avoid OOMs, use Anaconda on… | ||
| nothing matches | ||