Linear Digressions

En podcast av Ben Jaffe and Katie Malone

Kategorier:

289 Avsnitt

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

    Publicerades: 2017-11-06
  2. Improving Upon a First-Draft Data Science Analysis

    Publicerades: 2017-10-30
  3. Survey Raking

    Publicerades: 2017-10-23
  4. Happy Hacktoberfest

    Publicerades: 2017-10-16
  5. Re - Release: Kalman Runners

    Publicerades: 2017-10-09
  6. Neural Net Dropout

    Publicerades: 2017-10-02
  7. Disciplined Data Science

    Publicerades: 2017-09-25
  8. Hurricane Forecasting

    Publicerades: 2017-09-18
  9. Finding Spy Planes with Machine Learning

    Publicerades: 2017-09-11
  10. Data Provenance

    Publicerades: 2017-09-04
  11. Adversarial Examples

    Publicerades: 2017-08-28
  12. Jupyter Notebooks

    Publicerades: 2017-08-21
  13. Curing Cancer with Machine Learning is Super Hard

    Publicerades: 2017-08-14
  14. KL Divergence

    Publicerades: 2017-08-07
  15. Sabermetrics

    Publicerades: 2017-07-31
  16. What Data Scientists Can Learn from Software Engineers

    Publicerades: 2017-07-24
  17. Software Engineering to Data Science

    Publicerades: 2017-07-17
  18. Re-Release: Fighting Cholera with Data, 1854

    Publicerades: 2017-07-10
  19. Re-Release: Data Mining Enron

    Publicerades: 2017-07-02
  20. Factorization Machines

    Publicerades: 2017-06-26

8 / 15

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

Visit the podcast's native language site