Deploy +Serve Spark ML +TensorFlow AI Pipelines into Prod +Neural Net Algorithms
Details
Agenda
6:00pm
Arrive, Eat, and Drink
6:30pm
Empowering the Data Scientist with "1-Click" Production Deployment and Canary Testing of High-Performance and Highly-Scalable Spark ML and TensorFlow Models directly from Jupyter/iPython Notebooks using Docker, Kubernetes, Netflix OSS, Microservices, and Spinnaker.
With proper tooling and metrics, Data Scientists can directly deploy, analyze, A/B test, rollback, and scale out their Spark ML and TensorFlow model into live production serving with zero friction.
We will show you the open source tools that we've built based on Docker, Kubernetes, Netflix Open Source, Microservices, Spinnaker - and even Chaos Monkey!
Speaker: Chris Fregly @ PipelineIO (http://pipeline.io), formerly Databricks and Netflix
7:30pm
Deep Dive into Gradient Descent, Automatic Differentiation, and Back-Propagation: The Workhorse Algorithms of Machine Learning and Neural Networks
Speaker: Sam Abrahams, TensorFlow Contributor and TensorFlow Book Author
8:30pm
Go Home
Speakers
Chris Fregly is a Research Scientist and ML Production Engineer at PipelineIO (http://pipeline.io) - a Streaming Analytics and Machine Learning Startup in San Francisco.
Chris is an Apache Spark Contributor, Netflix Open Source Committer, Founder of the Global Advanced Spark and TensorFlow Meetup, and Author of the Upcoming Book, Advanced Spark.
Previously, Chris was a Streaming Data Engineer at Databricks and Netflix - as well as an original member of the IBM Spark Technology Center in San Francisco.
Sam Abrahams
Sam Abrahams is a Data Scientist who works through his company MemDump (http://www.memdump.io/), which provides machine learning consulting and engineering services.
Sam recently co-authored TensorFlow for Machine Intelligence (https://www.amazon.com/TensorFlow-Machine-Intelligence-hands--introduction-ebook/dp/B01IZ43JV4/), a book targeted for newcomers to TensorFlow and machine learning.
He is a long-time contributor to the TensorFlow open-source repository and has given several talks on data science, TensorFlow, and machine learning up and down the California coast.
Related Links
https://www.meetup.com/Metis-Chicago-Data-Science/events/230849359/