Linear Digressions

289 Episodes

1. Anscombe's Quartet

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

   Published: 6/12/2017
3. Page Rank

   Published: 6/5/2017
4. Fractional Dimensions

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

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

   Published: 5/15/2017
7. Federated Learning

   Published: 5/8/2017
8. Word2Vec

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

   Published: 4/24/2017
10. Education Analytics

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

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

    Published: 4/3/2017
13. Feature Importance

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

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

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

    Published: 3/6/2017
17. Empirical Bayes

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

    Published: 2/13/2017
19. Calibrated Models

    Published: 2/6/2017
20. Ensemble Algorithms

    Published: 1/23/2017