Linear Digressions

En podkast av Ben Jaffe and Katie Malone

Kategorier:

289 Episoder

  1. Optimization Solutions

    Publisert: 29.8.2016
  2. Optimization Problems

    Publisert: 22.8.2016
  3. Multi-level modeling for understanding DEADLY RADIOACTIVE GAS

    Publisert: 15.8.2016
  4. How Polls Got Brexit "Wrong"

    Publisert: 8.8.2016
  5. Election Forecasting

    Publisert: 1.8.2016
  6. Machine Learning for Genomics

    Publisert: 25.7.2016
  7. Climate Modeling

    Publisert: 18.7.2016
  8. Reinforcement Learning Gone Wrong

    Publisert: 11.7.2016
  9. Reinforcement Learning for Artificial Intelligence

    Publisert: 3.7.2016
  10. Differential Privacy: how to study people without being weird and gross

    Publisert: 27.6.2016
  11. How the sausage gets made

    Publisert: 20.6.2016
  12. SMOTE: makin' yourself some fake minority data

    Publisert: 13.6.2016
  13. Conjoint Analysis: like AB testing, but on steroids

    Publisert: 6.6.2016
  14. Traffic Metering Algorithms

    Publisert: 30.5.2016
  15. Um Detector 2: The Dynamic Time Warp

    Publisert: 23.5.2016
  16. Inside a Data Analysis: Fraud Hunting at Enron

    Publisert: 16.5.2016
  17. What's the biggest #bigdata?

    Publisert: 9.5.2016
  18. Data Contamination

    Publisert: 2.5.2016
  19. Model Interpretation (and Trust Issues)

    Publisert: 25.4.2016
  20. Updates! Political Science Fraud and AlphaGo

    Publisert: 18.4.2016

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In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.

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