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Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders.

Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader.

Jun 20, 2019

Today we’re joined by William Fehlman, director of data science at USAA. We caught up with William a while back to discuss:

  • His work on topic modeling, which USAA uses in various scenarios, including chat channels with members via mobile and desktop interfaces.
  • How their datasets are generated.
  • Explored methodologies of topic modeling, including latent semantic indexing, latent Dirichlet allocation, and non-negative matrix factorization.
  • We also explore how terms are represented via a document-term matrix, and how they are scored based on coherence.

The complete show notes can be found at twimlai.com/talk/276.

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