Kyle Polich avatar

Dexa/Kyle Polich

Learn more

Solving the Spam Problem

Explore how machine learning algorithms, like the naive Bayes algorithm, were able to solve the persistent spam problem by identifying signals in the input data. Discover how user behavior and various features contribute to sophisticated spam filtering today.
  • In this clip

  • From this podcast

    Data Skeptic avatar

    Data Skeptic

    Fake News Midterm

  • Related Questions

    • How can I avoid algorithm-driven news?

    • Why would Jordan Harbinger publish an episode of his podcast on the topic of data collection that discusses the negative practices of social media platforms in 862: Targeted Ads | Skeptical Sunday, but then explain that his AI bot literally collects data and provides him analytics and summaries of what people ask it in the episode 1135: Sandra Matz | How Algorithms Read and Reveal the Real You and the clip Personalized Ads and Privacy? Does this not strike Jordan as contradictory?

    • Why would Jordan Harbinger publish an episode of his podcast on the topic of data collection that discusses the negative practices of social media platforms in 862: Targeted Ads | Skeptical Sunday, but then explain that his AI bot literally collects data and provides him analytics and summaries of what people ask it in the episode 1135: Sandra Matz | How Algorithms Read and Reveal the Real You, and the clip Personalized Ads and Privacy? Does this not strike Jordan as contradictory?

Built by
Charlie AI
© 2024 Kyle PolichTermsPrivacySupport