Data Skeptic

A podcast by Kyle Polich

Categories:

571 Episodes

  1. Named Entity Recognition

    Published: 8/06/2019
  2. The Death of a Language

    Published: 1/06/2019
  3. Neural Turing Machines

    Published: 25/05/2019
  4. Data Infrastructure in the Cloud

    Published: 18/05/2019
  5. NCAA Predictions on Spark

    Published: 11/05/2019
  6. The Transformer

    Published: 3/05/2019
  7. Mapping Dialects with Twitter Data

    Published: 26/04/2019
  8. Sentiment Analysis

    Published: 20/04/2019
  9. Attention Primer

    Published: 13/04/2019
  10. Cross-lingual Short-text Matching

    Published: 5/04/2019
  11. ELMo

    Published: 29/03/2019
  12. BLEU

    Published: 23/03/2019
  13. Simultaneous Translation at Baidu

    Published: 15/03/2019
  14. Human vs Machine Transcription

    Published: 8/03/2019
  15. seq2seq

    Published: 1/03/2019
  16. Text Mining in R

    Published: 22/02/2019
  17. Recurrent Relational Networks

    Published: 15/02/2019
  18. Text World and Word Embedding Lower Bounds

    Published: 8/02/2019
  19. word2vec

    Published: 1/02/2019
  20. Authorship Attribution

    Published: 25/01/2019

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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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