From Computer Vision to Children’s Books: Demystifying AI | Kristen Kehrer

From Computer Vision to Children’s Books: Demystifying AI | Kristen Kehrer

From Data Podcast for Nerds! by nerdnourishment

March 26, 2026 · 38 min · Season 4 · Episode 102

About this episode

Kristen Kehrer discusses how data and AI can be used to create children's books and explains complex data concepts in simple terms.

Learn all about how The ML Demystifier uses data to solve the world's problems, one children's book at a time. One of the most recognizable (and brilliant) faces in the LinkedIn data community, Kristen Kehrer, joined me for Season 4 of the Data Podcast for Nerds, and we went down some truly fascinating rabbit holes. If you’ve ever wondered how to explain your complex data job to a first-grader or how to use computer vision to make sure you don't miss the school bus while you're distracted cooking an English muffin, this episode is for you! Highlights 🔦 - Using the "screenshot the traceback" method for debugging. - Knowing exactly when it's time to stop prompting and actually read the docs. - Mastering essential libraries to successfully navigate technical job interviews. Whether you want to learn how to build your own AI projects or just want to hear how to explain data science to a first-grader, this episode has it all 🤓 Where to find Kristen: LinkedIn Books: Susie's School Bus Solution Harry's Lemonade Solution: A Business Analysis Story ****** Data Career Coaching ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Book a call⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more MERCH!! Grab your…

People in this episode

Host: nerdnourishment

Guest: Kristen Kehrer

Topics covered

  • AI
  • children's books
  • computer vision
  • data science
  • technical job interviews
  • debugging

Keywords

  • AI
  • children's books
  • computer vision
  • data science
  • debugging
  • technical interviews

Mentioned in this episode

Organizations: The ML Demystifier, LinkedIn

Books & works: Susie's School Bus Solution, Harry's Lemonade Solution: A Business Analysis Story

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