Machine learning essentials for developers

Today's most exciting applications are intelligent applications, which learn from data and improve with continued use. To add intelligence to applications, developers need a solid grounding in machine learning techniques. Techniques that are shrouded in hype and mystique are actually accessible to all enterprise developers.

In this session, presented by a Red Hat engineer who has worked on and led many successful machine learning projects, you'll learn:

- The basic vocabulary of machine learning.

- Fundamental techniques and algorithms.

- How to prepare data for machine learning algorithms.

- How to evaluate and validate learning models.

- How to put machine learning into production on Red Hat OpenShift.

We'll feature visual explanations of machine learning concepts and focus on building intuitions rather than on mathematical derivations. Whether your goal is to get started understanding how machine learning techniques are transforming software, add intelligence to an application, or improve communication with your data science team, this session will get you there.

  • Date:Tuesday, May 8
  • Time:3:30 PM - 4:15 PM
  • Room:215
  • Location:Moscone South - 215
  • Session Type:Breakout
  • Session Code:S1529
  • Topic(s):Application development, Containers, Data and analytics
  • Session Includes:Demo
  • Technical difficulty:Introduction
  • Primary solution:Middleware
  • Industry:
  • Best for people who:Build applications, Design application/system architectures
  • Products and Services:Community project(s), Red Hat OpenShift Container Platform
  • Time slot:Afternoon
Speakers
William Benton
Red Hat, Inc
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