Lesson 6/6: Putting it all together to do prediction!

General Overview

We will be combining all of the skills that you learned from the previous lessons in order to process real data and use a neural network to do prediction.

Technologies that we will be utilizing for this lesson:

• Spark for distributed data processing and preparation
• AWS Elastic Computing 2 for cloud computing
• Zeppelin for developing with spark and PySpark
• Kubernetes for quick and easy deployment of software
• TensorFlow for developing neural network models

It is mandatory that attendees have AWS accounts if they want to follow along.

Please be on time. Food and drinks will be provided.

Complete Syllabus
Lesson 1: Apache Spark, PySpark, and Zeppelin Intro
Lesson 2: Introduction to TensorFlow
Lesson 3: Machine Learning in TensorFlow
Lesson 4: Deployment of Kubernetes
Lesson 5: TensorFlow and Kubernets in the Cloud
Lesson 6: Putting it all Together

Thanks to our friends at Mozilla for hosting!