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Tuesday, May 21 • 4:00pm - 5:00pm
37DD Using Machine Learning and Data Science Libraries

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One of the hottest topics in computing today is machine learning, or creating an 'artificial intelligence' to help analyze and categorize your data. Many businesses are inundated with large amounts of data, but don't know how to leverage it to draw new insights. In this session we cover how to set up open-source machine-learning software on your IBM i, either through Python packages that enable machine learning or offloading data and then run through a few examples on simulated data. These examples will be used to show how creating models to draw inferences on your data can lead to real benefits for your business's bottom line.

Learning Objectives:

1. Learn what options are available for machine learning on the IBM i.
2. Understand what machine learning is, and most importantly what it is not
3. Understand a basic example presented, and start to brainstorm about how inferencing might help their business.

avatar for Mark Irish

Mark Irish

Software Engineer, IBM
I am a software engineer at IBM working on open-source software enablement for the IBM i. I am particularly knowledgeable about Node.js and Machine Learning software libraries. Feel free to talk to me about your open-source questions and tell me what open-source software you'd like... Read More →

Tuesday May 21, 2019 4:00pm - 5:00pm PDT
Adventure Tower Safari
  Open Source Languages
  • Level Intermediate
  • Operating System IBM i, Linux
  • Audience Session targets developers and CTOs who might realize that their data has value for creating data inferences, but doesn't know how to start machine learning on the IBM i