Rustem Feyzkhanov
where else to find them
no profile links on file
what they talk about
all 4 in the filters
where they keep going back
- Data Con LA2 editions2020–2021
on a stage with
- Alexy Khrabrovonce
- Chris Freglyonce
- Dean Wampleronce
all 6 in the filters
who talks about the same things
- Julian Wood9 talks
- Ian Massingham6 talks
- Nicola Pietroluongo2 talks
- Alex Casalboni12 talks
- Danilo Poccia16 talks
- Alessandra Bilardi5 talks
| title | conference | date |
|---|---|---|
| Building scalable end-to-end deep learning pipelines in the cloud | Global Artificial Intelligence Virtual Conference 2022 | 2022-03-17 |
Argues a serverless pipeline on AWS reduces ops and idle cost by composing AWS Lambda for short parallel tasks, AWS Batch for heavy or GPU jobs, Amazon… | ||
| Building scalable end-to-end deep learning pipelines in the cloud | Data Con LA 2021 | 2021-09-17 |
Describes a concrete pipeline pattern that uses AWS Batch, AWS Fargate, Amazon SageMaker, AWS Lambda, AWS Step Functions where Step Functions orchestrates five… | ||
| Panel - Tips for Writing an Effective AI and Deep Learning Book | Data Con LA 2020 | 2020-10-23 |
Panel reports practical author choices: publishing route matters (self-publish boosts revenue, a major publisher supplies reviewers and marketing), many… | ||
| Serverless Tensorflow 1.0.0 on AWS. Wait what? | Scale By the Bay 2017 | 2017-11-16 |
Ports TensorFlow 1.0 / 1.4 and Keras models into AWS Lambda using Docker on Amazon Linux, building a deployment artifact in the lambda-packs repo and loading… | ||
| Rustem Feyzkhanov Interview | Scale By the Bay 2017 | 2017-11-16 |
Describes porting real ML stacks — TensorFlow/Keras/Sklearn on AWS Lambda — using the lambda-packs repo, and why packaging native binaries and cold-start… | ||
| nothing matches | ||