Data Skeptic

Un podcast de Kyle Polich

Catégories:

549 Épisodes

  1. ML Ops in Production

    Publié: 06/10/2022
  2. Ad Network Tomography

    Publié: 03/10/2022
  3. First Party Tracking Cookies

    Publié: 26/09/2022
  4. The Harms of Targeted Weight Loss Ads

    Publié: 19/09/2022
  5. Podcast Advertising

    Publié: 12/09/2022
  6. Fairness in e-Commerce Search

    Publié: 05/09/2022
  7. Fraudulent Amazon Reviewers

    Publié: 29/08/2022
  8. Ad Targeting in Amazon Smart Speakers

    Publié: 22/08/2022
  9. Adwords with Unknown Budgets

    Publié: 15/08/2022
  10. ML Ops Best Practices

    Publié: 12/08/2022
  11. Affiliate Marketing Rabbithole

    Publié: 08/08/2022
  12. Monetization of Youtube Conspiracy Theorists

    Publié: 01/08/2022
  13. User Perceptions of Problematic Ads

    Publié: 25/07/2022
  14. Political Digital Advertising Analysis

    Publié: 21/07/2022
  15. Fraud Detection in Crowdfunding Campaigns

    Publié: 18/07/2022
  16. Artificial Intelligence and Auction Design

    Publié: 11/07/2022
  17. Privacy Preference Signals

    Publié: 04/07/2022
  18. Neural Architecture Search for CTR Prediction

    Publié: 27/06/2022
  19. Algorithmic PPC Management

    Publié: 21/06/2022
  20. Data Skeptic: Ad Tech

    Publié: 18/06/2022

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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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