Linear Digressions

289 Episodo

1. Anscombe's Quartet

   Publicado: 19/6/2017
2. Traffic Metering Algorithms

   Publicado: 12/6/2017
3. Page Rank

   Publicado: 5/6/2017
4. Fractional Dimensions

   Publicado: 29/5/2017
5. Things You Learn When Building Models for Big Data

   Publicado: 22/5/2017
6. How to Find New Things to Learn

   Publicado: 15/5/2017
7. Federated Learning

   Publicado: 8/5/2017
8. Word2Vec

   Publicado: 1/5/2017
9. Feature Processing for Text Analytics

   Publicado: 24/4/2017
10. Education Analytics

    Publicado: 17/4/2017
11. A Technical Deep Dive on Stanley, the First Self-Driving Car

    Publicado: 10/4/2017
12. An Introduction to Stanley, the First Self-Driving Car

    Publicado: 3/4/2017
13. Feature Importance

    Publicado: 27/3/2017
14. Space Codes!

    Publicado: 20/3/2017
15. Finding (and Studying) Wikipedia Trolls

    Publicado: 13/3/2017
16. A Sprint Through What's New in Neural Networks

    Publicado: 6/3/2017
17. Empirical Bayes

    Publicado: 20/2/2017
18. Endogenous Variables and Measuring Protest Effectiveness

    Publicado: 13/2/2017
19. Calibrated Models

    Publicado: 6/2/2017
20. Ensemble Algorithms

    Publicado: 23/1/2017