Data Skeptic

A podcast by Kyle Polich

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549 Episodes

  1. Neural Turing Machines

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

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

    Published: 11/05/2019
  4. The Transformer

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

    Published: 26/04/2019
  6. Sentiment Analysis

    Published: 20/04/2019
  7. Attention Primer

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

    Published: 5/04/2019
  9. ELMo

    Published: 29/03/2019
  10. BLEU

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

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

    Published: 8/03/2019
  13. seq2seq

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

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

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

    Published: 8/02/2019
  17. word2vec

    Published: 1/02/2019
  18. Authorship Attribution

    Published: 25/01/2019
  19. Very Large Corpora and Zipf's Law

    Published: 18/01/2019
  20. Semantic search at Github

    Published: 11/01/2019

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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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