Linear Digressions

289 Episodes

1. Chernoff Faces and Minard Maps

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

   Published: 15/01/2016
3. The [Expletive Deleted] Problem

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

   Published: 08/01/2016
5. Hacking Neural Nets

   Published: 05/01/2016
6. Zipf's Law

   Published: 31/12/2015
7. Indie Announcement

   Published: 30/12/2015
8. Portrait Beauty

   Published: 27/12/2015
9. The Cocktail Party Problem

   Published: 18/12/2015
10. A Criminally Short Introduction to Semi Supervised Learning

    Published: 04/12/2015
11. Thresholdout: Down with Overfitting

    Published: 27/11/2015
12. The State of Data Science

    Published: 10/11/2015
13. Data Science for Making the World a Better Place

    Published: 06/11/2015
14. Kalman Runners

    Published: 29/10/2015
15. Neural Net Inception

    Published: 23/10/2015
16. Benford's Law

    Published: 16/10/2015
17. Guinness

    Published: 07/10/2015
18. PFun with P Values

    Published: 02/09/2015
19. Watson

    Published: 25/08/2015
20. Bayesian Psychics

    Published: 18/08/2015