Linear Digressions

289 Épisodes

1. Anscombe's Quartet

   Publié: 19/06/2017
2. Traffic Metering Algorithms

   Publié: 12/06/2017
3. Page Rank

   Publié: 05/06/2017
4. Fractional Dimensions

   Publié: 29/05/2017
5. Things You Learn When Building Models for Big Data

   Publié: 22/05/2017
6. How to Find New Things to Learn

   Publié: 15/05/2017
7. Federated Learning

   Publié: 08/05/2017
8. Word2Vec

   Publié: 01/05/2017
9. Feature Processing for Text Analytics

   Publié: 24/04/2017
10. Education Analytics

    Publié: 17/04/2017
11. A Technical Deep Dive on Stanley, the First Self-Driving Car

    Publié: 10/04/2017
12. An Introduction to Stanley, the First Self-Driving Car

    Publié: 03/04/2017
13. Feature Importance

    Publié: 27/03/2017
14. Space Codes!

    Publié: 20/03/2017
15. Finding (and Studying) Wikipedia Trolls

    Publié: 13/03/2017
16. A Sprint Through What's New in Neural Networks

    Publié: 06/03/2017
17. Empirical Bayes

    Publié: 20/02/2017
18. Endogenous Variables and Measuring Protest Effectiveness

    Publié: 13/02/2017
19. Calibrated Models

    Publié: 06/02/2017
20. Ensemble Algorithms

    Publié: 23/01/2017