Making Open Work
May 8–9, 2017: Training & Tutorials
May 10–11, 2017: Conference
Austin, TX

Machine learning with R

Barbara Fusinska (Google)
1:30pm5:00pm Monday, May 8, 2017
Data, Big and Small
Location: Ballroom E
Level: Intermediate
Average rating: ***..
(3.56, 9 ratings)

Who is this presentation for?

  • Software developers and data scientists

Prerequisite knowledge

  • A working knowledge of at least one programming language
  • A general familiarity with machine learning (useful but not required)

Materials or downloads needed in advance

In preparation for the tutorial you should install R environment and the code:

What you'll learn

  • Understand basic machine-learning concepts and how to create predictive models
  • Learn how to use R to prepare data, create a predictive model, and display the results


Applications are becoming more intelligent. Using machine learning, they can predict your online shopping preferences, movies you want to watch, or interesting articles you might want to read. The R platform is one of the best environments for statistics, data science, and data visualization, offering libraries and ready-to-use implementations of machine-learning algorithms.

Barbara Fusinska demonstrates how to use R to prepare data, create a predictive model, and display the results, as she walks you through the process of implementing machine-learning algorithms for classification, regression, and clustering problems.

Topics include:

  • The machine-learning process
  • Creating predictive models
  • Supervised and unsupervised learning
  • R basics for data preparation and alterations
  • Using R when implementing regression classification and clustering algorithms
  • Methods for scoring and evaluating
  • Using R for visualization
Photo of Barbara Fusinska

Barbara Fusinska


Barbara Fusinska is a machine learning strategic cloud engineering manager at Google with a strong software development background. Previously, she was at a variety of different companies like ABB, Base, Trainline, and Microsoft, where she gained experience in building diverse software systems, ultimately focusing on the data science and machine learning field. Barbara believes in the importance of data and metrics when growing a successful business. In her free time, Barbara enjoys programming activities and collaborating around data architecture. She can be found on Twitter as @BasiaFusinska and blogs at

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Picture of Fred Smith
05/05/2017 5:23am CDT

I received and email stating that the datasets would be available before the course. Will they be sent out in advance or delivered in person in the room. Thanks and looking forward to this.

PS: The link to the course in the email was incorrect and pointed to a different session.

Picture of Audra Carter
04/24/2017 5:14am CDT

Hi Sachin – You can sign up for this tutorial if you registered for a Gold or Silver pass to the conference.

Picture of Sachin Jha
04/22/2017 10:55am CDT

How to register for this session?