Linear Digressions

A podcast by Ben Jaffe and Katie Malone

Categories:

289 Episodes

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

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

    Published: 30/10/2017
  3. Survey Raking

    Published: 23/10/2017
  4. Happy Hacktoberfest

    Published: 16/10/2017
  5. Re - Release: Kalman Runners

    Published: 09/10/2017
  6. Neural Net Dropout

    Published: 02/10/2017
  7. Disciplined Data Science

    Published: 25/09/2017
  8. Hurricane Forecasting

    Published: 18/09/2017
  9. Finding Spy Planes with Machine Learning

    Published: 11/09/2017
  10. Data Provenance

    Published: 04/09/2017
  11. Adversarial Examples

    Published: 28/08/2017
  12. Jupyter Notebooks

    Published: 21/08/2017
  13. Curing Cancer with Machine Learning is Super Hard

    Published: 14/08/2017
  14. KL Divergence

    Published: 07/08/2017
  15. Sabermetrics

    Published: 31/07/2017
  16. What Data Scientists Can Learn from Software Engineers

    Published: 24/07/2017
  17. Software Engineering to Data Science

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

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

    Published: 02/07/2017
  20. Factorization Machines

    Published: 26/06/2017

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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