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KubeFlow + AirFlow + TensorFlow Extended (TFX) + TF Encrypted + RedisAI Streams

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Chris F.
KubeFlow + AirFlow + TensorFlow Extended (TFX) + TF Encrypted + RedisAI Streams

Details

Title

KubeFlow + Airflow + TF 2.0 + TensorFlow Extended (TFX) + TF Encrypted + RedisAI

Agenda

  1. Redis AI + TensorFlow + PyTorch + Redis Streams

Speaker: Dave Nielsen, Head of Community and Ecosystem @ Redis Labs
(https://www.linkedin.com/in/dnielsen)

  1. TensorFlow Encrypted

Machine learning applied to healthcare or otherwise sensitive data may be blocked if privacy isn’t adequately addressed. In this presentation we give an overview of how the TF Encrypted open source library can be used to make predictions and fit models on encrypted data in TensorFlow, without first needing to master advanced cryptography.

Speaker: Morten Dahl, Research Scientist @ DropOut Labs
(https://www.linkedin.com/in/mortendahlcs)

  1. KubeFlow + Airflow + TensorFlow Extended (TFX)

Speaker: Chris Fregly, Founder @ PipelineAI
(https://www.linkedin.com/in/cfregly)

Date/Time

9-10am US Pacific Time (Third Monday of Every Month)

** RSVP & LOGIN HERE **

Eventbrite:

https://www.eventbrite.com/e/1-hr-free-workshop-pipelineai-gpu-tpu-spark-ml-tensorflow-ai-kubernetes-kafka-scikit-tickets-45852865154

Meetup:

https://www.meetup.com/Advanced-Spark-and-TensorFlow-Meetup/events/jwhkqqyzdbxb/

Zoom:

https://zoom.us/j/690414331
Webinar ID: 690 414 331

Phone:

+1 646 558 8656 (US Toll) or +1 408 638 0968 (US Toll)

Related Links

PipelineAI Home: https://pipeline.ai

PipelineAI Community Edition: https://community.pipeline.ai

PipelineAI GitHub: https://github.com/PipelineAI/pipeline

PipelineAI Quick Start: https://quickstart.pipeline.ai

Advanced Spark and TensorFlow Meetup (SF-based, Global Reach): https://www.meetup.com/Advanced-Spark-and-TensorFlow-Meetup

YouTube Videos: https://youtube.pipeline.ai

SlideShare Presentations: https://slideshare.pipeline.ai

Slack Support:
https://joinslack.pipeline.ai

Web Support and Knowledge Base: https://support.pipeline.ai

Email Support: help@pipeline.ai

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