Loading…
Back To Schedule
Wednesday, October 28 • 13:00 - 13:50
Hands-On Real Time Stream Processing for Machine Learning - Alejandro Saucedo, The Institute for Ethical AI & Machine Learning

Sign up or log in to save this to your schedule, view media, leave feedback and see who's attending!

Feedback form is now closed.
This talk will provide a practical insight on how to build scalable data streaming machine learning pipelines to process large datasets in real time using Python Asyncio, Kafka, Faust, SpaCy and Seldon. We will be covering a case study performing automated content moderation on Reddit comments in real time. Our dataset will consist of 200k reddit comments from /r/science, 50,000 of which have been removed by moderators. We will be handling the stream data in a Kafka cluster, and the stream processing will be handled using the stream processing library Faust. We will be running the end-to-end pipeline in Kubernetes with various components legeraging SKLearn, SpaCy and Seldon. We will then dive into fundamental concepts on stream processing such as windows, watermarking and checkponting, and we will show how to use each of these frameworks to build complex data streaming pipelines that can perform real time processing at scale. Finally we will show best practices when using these frameworks, as well as a high level overview of tools that can be used for monitoring, including Grafana and Kafka Manager.

Speakers
avatar for Alejandro Saucedo

Alejandro Saucedo

Chief Scientist, The Institute for Ethical AI & Machine Learning
Alejandro is the Chief Scientist at the Institute for Ethical AI & Machine Learning, where he leads the development of industry standards on machine learning bias, adversarial attacks and differential privacy. Alejandro is also the Director of Machine Learning Engineering at Seldon... Read More →


Wednesday October 28, 2020 13:00 - 13:50 GMT
AI/ML/DL Theater
  AI/ML/DL, Data Versioning