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Tuesday, June 18 • 09:15 - 10:15
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 Jesse Gorzinski

Jesse Gorzinski

Business Architect, IBM
Jesse Gorzinski is a tinkerer, programmer, hacker, and an award-winning speaker. In his role as business architect at IBM, Jesse has helped build an open source ecosystem on the IBM i platform. He has helped countless numbers of small businesses and enterprise clients deploy open... Read More →

Tuesday June 18, 2019 09:15 - 10:15 CEST