Data Skeptic

A podcast by Kyle Polich

Categories:

540 Episodes

  1. BLEU

    Published: 3/23/2019
  2. Simultaneous Translation at Baidu

    Published: 3/15/2019
  3. Human vs Machine Transcription

    Published: 3/8/2019
  4. seq2seq

    Published: 3/1/2019
  5. Text Mining in R

    Published: 2/22/2019
  6. Recurrent Relational Networks

    Published: 2/15/2019
  7. Text World and Word Embedding Lower Bounds

    Published: 2/8/2019
  8. word2vec

    Published: 2/1/2019
  9. Authorship Attribution

    Published: 1/25/2019
  10. Very Large Corpora and Zipf's Law

    Published: 1/18/2019
  11. Semantic search at Github

    Published: 1/11/2019
  12. Let's Talk About Natural Language Processing

    Published: 1/4/2019
  13. Data Science Hiring Processes

    Published: 12/28/2018
  14. Holiday Reading - Epicac

    Published: 12/25/2018
  15. Drug Discovery with Machine Learning

    Published: 12/21/2018
  16. Sign Language Recognition

    Published: 12/14/2018
  17. Data Ethics

    Published: 12/7/2018
  18. Escaping the Rabbit Hole

    Published: 11/30/2018
  19. [MINI] Theorem Provers

    Published: 11/23/2018
  20. Automated Fact Checking

    Published: 11/16/2018

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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.