Linear Digressions

Ein Podcast von Ben Jaffe and Katie Malone

Kategorien:

289 Folgen

  1. Machine Learning: The High Interest Credit Card of Technical Debt

    Vom: 6.11.2017
  2. Improving Upon a First-Draft Data Science Analysis

    Vom: 30.10.2017
  3. Survey Raking

    Vom: 23.10.2017
  4. Happy Hacktoberfest

    Vom: 16.10.2017
  5. Re - Release: Kalman Runners

    Vom: 9.10.2017
  6. Neural Net Dropout

    Vom: 2.10.2017
  7. Disciplined Data Science

    Vom: 25.9.2017
  8. Hurricane Forecasting

    Vom: 18.9.2017
  9. Finding Spy Planes with Machine Learning

    Vom: 11.9.2017
  10. Data Provenance

    Vom: 4.9.2017
  11. Adversarial Examples

    Vom: 28.8.2017
  12. Jupyter Notebooks

    Vom: 21.8.2017
  13. Curing Cancer with Machine Learning is Super Hard

    Vom: 14.8.2017
  14. KL Divergence

    Vom: 7.8.2017
  15. Sabermetrics

    Vom: 31.7.2017
  16. What Data Scientists Can Learn from Software Engineers

    Vom: 24.7.2017
  17. Software Engineering to Data Science

    Vom: 17.7.2017
  18. Re-Release: Fighting Cholera with Data, 1854

    Vom: 10.7.2017
  19. Re-Release: Data Mining Enron

    Vom: 2.7.2017
  20. Factorization Machines

    Vom: 26.6.2017

8 / 15

In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.

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