Machine Learning with Spark on Google Cloud Dataproc Workshop

In this workshop, you will learn how to prepare the Spark interactive shell on a Google Cloud Dataproc cluster, create a training dataset for machine learning using Spark, develop a logistic regression machine learning model using Spark, and evaluate the predictive behaviour of a machine learning model using Spark on Google Cloud Datalab.

Mar 25, 2021, 6:00 – 8:00 PM

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Key Themes

CloudMachine Learning

About this event

In this workshop, you will learn how to prepare the Spark interactive shell on a Google Cloud Dataproc cluster, create a training dataset for machine learning using Spark, develop a logistic regression machine learning model using Spark, and evaluate the predictive behaviour of a machine learning model using Spark on Google Cloud Datalab.

Together with Goran Minov (Technical Project Manager, RBH and Co-Organiser, GDG London), you will cover the basics on how to implement logistic regression using a machine learning library for Apache Spark running on a Google Cloud Dataproc cluster to develop a model for data from a multivariable dataset.

To join this workshop you should have basic Linux sysadmin skills and some familiarity with Machine Learning basics. Experience with Dataproc will be beneficial but is not essential.

Note: In order to participate you will need an account with https://google.qwiklabs.com/. You can create an account for free. We will provide a voucher code to launch the lab during the workshop.

When

When

Thursday, March 25, 2021
6:00 PM – 8:00 PM UTC

Agenda

6:00 PMMachine Learning with Spark on Google Cloud Dataproc Workshop

Organizers

  • Renuka Kelkar

    techpowergirls

    GDG Organizer

  • Sumith Damodaran

    sitecore

    PM / GDG Organizer

  • Jai Campbell

    Wipro

    Senior Architect / GDG Organizer

  • Chris Bouloumpasis

    GDG Organizer

  • Goran Minov

    Okta

    GDG Organizer

  • Pranav Nagarajan

    Second Year Electronic Engineering student

    Pursuing Bachelors in Electronic Engineering

  • Inès Rigaud

    GDG Organizer

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