Data Skeptic

En podkast av Kyle Polich

Kategorier:

549 Episoder

  1. Neural Turing Machines

    Publisert: 25.5.2019
  2. Data Infrastructure in the Cloud

    Publisert: 18.5.2019
  3. NCAA Predictions on Spark

    Publisert: 11.5.2019
  4. The Transformer

    Publisert: 3.5.2019
  5. Mapping Dialects with Twitter Data

    Publisert: 26.4.2019
  6. Sentiment Analysis

    Publisert: 20.4.2019
  7. Attention Primer

    Publisert: 13.4.2019
  8. Cross-lingual Short-text Matching

    Publisert: 5.4.2019
  9. ELMo

    Publisert: 29.3.2019
  10. BLEU

    Publisert: 23.3.2019
  11. Simultaneous Translation at Baidu

    Publisert: 15.3.2019
  12. Human vs Machine Transcription

    Publisert: 8.3.2019
  13. seq2seq

    Publisert: 1.3.2019
  14. Text Mining in R

    Publisert: 22.2.2019
  15. Recurrent Relational Networks

    Publisert: 15.2.2019
  16. Text World and Word Embedding Lower Bounds

    Publisert: 8.2.2019
  17. word2vec

    Publisert: 1.2.2019
  18. Authorship Attribution

    Publisert: 25.1.2019
  19. Very Large Corpora and Zipf's Law

    Publisert: 18.1.2019
  20. Semantic search at Github

    Publisert: 11.1.2019

15 / 28

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.

Visit the podcast's native language site