Mar 15–18, 2020

Neuroevolution-based automated model building: How to create better models

Carlos Pazos (SparkCognition), Keith Moore (SparkCognition)
1:45pm2:25pm Tuesday, March 17, 2020
Location: 210 C/G

Who is this presentation for?

  • Data scientists, analysts, and software developers




Common neural network architectures may work well for known, established data problems; however, they can fall short when modern machine learning applications demand more performance and higher levels of sophistication.

Carlos Pazos and Keith Moore shine a spotlight on how neural architecture search works, some of the challenges faced in the space, and why an evolutionary approach is capable of discovering sophisticated and elegant designs that fit your data. You’ll follow along on the journey their team took while building out better models, explore some real work examples and implementations, and learn some of the problems they’ve yet to solve.

Prerequisite knowledge

  • Experience with machine learning experience
  • A basic understanding of deep neural networks

What you'll learn

  • Explore neuroevolution-based AutoML and its benefits
  • Understand and overcome the challenges of custom modeling
Photo of Carlos Pazos

Carlos Pazos


Carlos Pazos is a product marketing manager at SparkCognition, responsible for automated model building and natural language processing solutions. He specializes in the real-world implementation of AI-based technologies for the oil and gas, utilities, aerospace, finance, and defense sectors. Previously, he was with National Instruments as an IIoT embedded software and distributed systems product marketing manager. He specialized in real-time systems, heterogeneous computing architectures, industrial communication protocols, and analytics at the edge.

Photo of Keith Moore

Keith Moore


Keith Moore is the director of product management at SparkCognition and is responsible for the development of both its IoT (SparkPredict) and cybersecurity (SparkSecure) product lines. He specializes in applying advanced data science and natural language processing algorithms to complex datasets. Previously, he was with test and measurement giant National Instruments as an analog to digital converter and vibration software product manager and developed client software solutions for major oil and gas, aerospace, and semiconductor organizations. He served as a board member of Pi Kappa Phi fraternity and is still a volunteer on the alumni engagement committee. He volunteers as the president of the Austin Volunteers Alumni Club President. Keith earned a degree in mechanical engineering from the University of Tennessee summa cum laude.

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