Data Skeptic

A podcast by Kyle Polich

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565 Episodes

  1. Podcast Advertising

    Published: 12/09/2022
  2. Fairness in e-Commerce Search

    Published: 5/09/2022
  3. Fraudulent Amazon Reviewers

    Published: 29/08/2022
  4. Ad Targeting in Amazon Smart Speakers

    Published: 22/08/2022
  5. Adwords with Unknown Budgets

    Published: 15/08/2022
  6. ML Ops Best Practices

    Published: 12/08/2022
  7. Affiliate Marketing Rabbithole

    Published: 8/08/2022
  8. Monetization of Youtube Conspiracy Theorists

    Published: 1/08/2022
  9. User Perceptions of Problematic Ads

    Published: 25/07/2022
  10. Political Digital Advertising Analysis

    Published: 21/07/2022
  11. Fraud Detection in Crowdfunding Campaigns

    Published: 18/07/2022
  12. Artificial Intelligence and Auction Design

    Published: 11/07/2022
  13. Privacy Preference Signals

    Published: 4/07/2022
  14. Neural Architecture Search for CTR Prediction

    Published: 27/06/2022
  15. Algorithmic PPC Management

    Published: 21/06/2022
  16. Data Skeptic: Ad Tech

    Published: 18/06/2022
  17. The Reliability of Mobile Phone Data

    Published: 13/06/2022
  18. Haywire Algorithms

    Published: 6/06/2022
  19. School Reopening Analysis

    Published: 30/05/2022
  20. Modern Data Stacks

    Published: 26/05/2022

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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.

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