Linear Digressions

289 Folgen

1. Chernoff Faces and Minard Maps

   Vom: 18.1.2016
2. t-SNE: Reduce Your Dimensions, Keep Your Clusters

   Vom: 15.1.2016
3. The [Expletive Deleted] Problem

   Vom: 11.1.2016
4. Unlabeled Supervised Learning--whaaa?

   Vom: 8.1.2016
5. Hacking Neural Nets

   Vom: 5.1.2016
6. Zipf's Law

   Vom: 31.12.2015
7. Indie Announcement

   Vom: 30.12.2015
8. Portrait Beauty

   Vom: 27.12.2015
9. The Cocktail Party Problem

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

    Vom: 4.12.2015
11. Thresholdout: Down with Overfitting

    Vom: 27.11.2015
12. The State of Data Science

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

    Vom: 6.11.2015
14. Kalman Runners

    Vom: 29.10.2015
15. Neural Net Inception

    Vom: 23.10.2015
16. Benford's Law

    Vom: 16.10.2015
17. Guinness

    Vom: 7.10.2015
18. PFun with P Values

    Vom: 2.9.2015
19. Watson

    Vom: 25.8.2015
20. Bayesian Psychics

    Vom: 18.8.2015