Linear Digressions

289 Avsnitt

1. Chernoff Faces and Minard Maps

   Publicerades: 2016-01-18
2. t-SNE: Reduce Your Dimensions, Keep Your Clusters

   Publicerades: 2016-01-15
3. The [Expletive Deleted] Problem

   Publicerades: 2016-01-11
4. Unlabeled Supervised Learning--whaaa?

   Publicerades: 2016-01-08
5. Hacking Neural Nets

   Publicerades: 2016-01-05
6. Zipf's Law

   Publicerades: 2015-12-31
7. Indie Announcement

   Publicerades: 2015-12-30
8. Portrait Beauty

   Publicerades: 2015-12-27
9. The Cocktail Party Problem

   Publicerades: 2015-12-18
10. A Criminally Short Introduction to Semi Supervised Learning

    Publicerades: 2015-12-04
11. Thresholdout: Down with Overfitting

    Publicerades: 2015-11-27
12. The State of Data Science

    Publicerades: 2015-11-10
13. Data Science for Making the World a Better Place

    Publicerades: 2015-11-06
14. Kalman Runners

    Publicerades: 2015-10-29
15. Neural Net Inception

    Publicerades: 2015-10-23
16. Benford's Law

    Publicerades: 2015-10-16
17. Guinness

    Publicerades: 2015-10-07
18. PFun with P Values

    Publicerades: 2015-09-02
19. Watson

    Publicerades: 2015-08-25
20. Bayesian Psychics

    Publicerades: 2015-08-18