Linear Digressions

289 Episoade

1. Chernoff Faces and Minard Maps

   Publicat: 18.01.2016
2. t-SNE: Reduce Your Dimensions, Keep Your Clusters

   Publicat: 15.01.2016
3. The [Expletive Deleted] Problem

   Publicat: 11.01.2016
4. Unlabeled Supervised Learning--whaaa?

   Publicat: 08.01.2016
5. Hacking Neural Nets

   Publicat: 05.01.2016
6. Zipf's Law

   Publicat: 31.12.2015
7. Indie Announcement

   Publicat: 30.12.2015
8. Portrait Beauty

   Publicat: 27.12.2015
9. The Cocktail Party Problem

   Publicat: 18.12.2015
10. A Criminally Short Introduction to Semi Supervised Learning

    Publicat: 04.12.2015
11. Thresholdout: Down with Overfitting

    Publicat: 27.11.2015
12. The State of Data Science

    Publicat: 10.11.2015
13. Data Science for Making the World a Better Place

    Publicat: 06.11.2015
14. Kalman Runners

    Publicat: 29.10.2015
15. Neural Net Inception

    Publicat: 23.10.2015
16. Benford's Law

    Publicat: 16.10.2015
17. Guinness

    Publicat: 07.10.2015
18. PFun with P Values

    Publicat: 02.09.2015
19. Watson

    Publicat: 25.08.2015
20. Bayesian Psychics

    Publicat: 18.08.2015