Data Skeptic

A podcast by Kyle Polich

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571 Episodes

  1. Nano-targetted Facebook Ads

    Published: 10/17/2022
  2. Debiasing GPT-3 Job Ads

    Published: 10/10/2022
  3. ML Ops in Production

    Published: 10/6/2022
  4. Ad Network Tomography

    Published: 10/3/2022
  5. First Party Tracking Cookies

    Published: 9/26/2022
  6. The Harms of Targeted Weight Loss Ads

    Published: 9/19/2022
  7. Podcast Advertising

    Published: 9/12/2022
  8. Fairness in e-Commerce Search

    Published: 9/5/2022
  9. Fraudulent Amazon Reviewers

    Published: 8/29/2022
  10. Ad Targeting in Amazon Smart Speakers

    Published: 8/22/2022
  11. Adwords with Unknown Budgets

    Published: 8/15/2022
  12. ML Ops Best Practices

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

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

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

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

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

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

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

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

    Published: 6/27/2022

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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.