Data Skeptic

Un podcast de Kyle Polich

Catégories:

549 Épisodes

  1. Neural Turing Machines

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

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

    Publié: 11/05/2019
  4. The Transformer

    Publié: 03/05/2019
  5. Mapping Dialects with Twitter Data

    Publié: 26/04/2019
  6. Sentiment Analysis

    Publié: 20/04/2019
  7. Attention Primer

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

    Publié: 05/04/2019
  9. ELMo

    Publié: 29/03/2019
  10. BLEU

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

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

    Publié: 08/03/2019
  13. seq2seq

    Publié: 01/03/2019
  14. Text Mining in R

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

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

    Publié: 08/02/2019
  17. word2vec

    Publié: 01/02/2019
  18. Authorship Attribution

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

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

    Publié: 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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