MACHINE LEARNING

Get Smart About Artificial Intelligence: Concept Learning and Classification

Last week, I launched my 6-part video series, "Get Smart About Artificial Intelligence," to help everyone learn more about AI and how it can be applied in an organization. We kicked off with an intro to AI and machine learning and dived straight into anomaly detection.

I'm continuing the series this week with a "double feature" on Concept Learning and Classification. Both of these methods allow computers to mimic techniques that we learn at an early age.

From youth, we learn to express ourselves using concepts; these concepts allow us to provide accurate descriptions based on our experiences without a static definition based on rules.

We also gain, as toddlers, the ability to classify things. For example, we're able to discern the difference between letters and numbers.

In this week’s video, you’ll learn how we can train computers on these elementary competencies and use them to solve challenges in both IT and the business.

 

As always, please let me know what you think in the comments and be sure to subscribe for more content!

If you're new to the series, check out the original blog post "Get Smart about Artificial Intelligence." You can also view the entire video series on YouTube.

Craig Vincent
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Craig Vincent

Craig Vincent is the Lead Technologist for State & Local Government, Education, and Academic Healthcare markets at Splunk. Craig serves as a trusted advisor to IT leaders and organizations who are looking to keep up with the breakneck pace of innovation.  From his years as a technologist and an advisor, Craig knows how to leverage the latest technological innovations and properly apply them to business and organizational challenges. As Lead Technologist, Craig is responsible for devising Splunk SLED solution strategy and aligning business functions around a technical vision. Prior to joining Splunk in 2015, Craig held roles at Mandiant and the Internet & Television Association. A proud Blue Devil, Craig holds a B.S.E in Computer Engineering and a Master of Engineering Management both from Duke University.

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