Data Skeptic

A podcast by Kyle Polich

Categories:

540 Episodes

  1. ML Ops Best Practices

    Published: 8/12/2022
  2. Affiliate Marketing Rabbithole

    Published: 8/8/2022
  3. Monetization of Youtube Conspiracy Theorists

    Published: 8/1/2022
  4. User Perceptions of Problematic Ads

    Published: 7/25/2022
  5. Political Digital Advertising Analysis

    Published: 7/21/2022
  6. Fraud Detection in Crowdfunding Campaigns

    Published: 7/18/2022
  7. Artificial Intelligence and Auction Design

    Published: 7/11/2022
  8. Privacy Preference Signals

    Published: 7/4/2022
  9. Neural Architecture Search for CTR Prediction

    Published: 6/27/2022
  10. Algorithmic PPC Management

    Published: 6/21/2022
  11. Data Skeptic: Ad Tech

    Published: 6/18/2022
  12. The Reliability of Mobile Phone Data

    Published: 6/13/2022
  13. Haywire Algorithms

    Published: 6/6/2022
  14. School Reopening Analysis

    Published: 5/30/2022
  15. Modern Data Stacks

    Published: 5/26/2022
  16. Emoji as a Predictor

    Published: 5/23/2022
  17. Polarizing Trends in the Gig Economy

    Published: 5/16/2022
  18. Remote Learning in Applied Engineering

    Published: 5/12/2022
  19. Remote Productivity

    Published: 5/9/2022
  20. Does Remote Learning Work?

    Published: 5/1/2022

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The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.