Data Science Crash Course with Spark ML 🚀

Introduction: This workshop will provide a hands on introduction to basic Machine Learning techniques with Apache Spark ML using the cloud.

Format: A short introductory lecture on a select important supervised and unsupervised Machine Learning techniques followed by a demo, lab exercises and a Q&A session. The lecture will be followed by lab time to work through the lab exercises and ask questions.

Objective: To provide a quick and short hands-on introduction to Machine Learning with Spark ML. In the lab, you will use the following components: Apache Zeppelin (a “Modern Data Science Toolbox”) and Apache Spark. You will learn how to analyze the data, structure the data, train Machine Learning models and apply them to answer real-world questions.

Pre-requisites: Registrants must bring a laptop that can run the Hortonworks Data Cloud.

At this Crash Course everyone will have a cluster assigned to them to try several workloads using Machine Learning, Spark and Zeppelin on the cloud.

Checkout our short video on Basic Machine Learning Algorithms.


Speakers: Robert Hryniewicz