Linear Digressions

A podcast by Ben Jaffe and Katie Malone

Categorie:

289 Episodio

  1. Optimization Solutions

    Pubblicato: 29/8/2016
  2. Optimization Problems

    Pubblicato: 22/8/2016
  3. Multi-level modeling for understanding DEADLY RADIOACTIVE GAS

    Pubblicato: 15/8/2016
  4. How Polls Got Brexit "Wrong"

    Pubblicato: 8/8/2016
  5. Election Forecasting

    Pubblicato: 1/8/2016
  6. Machine Learning for Genomics

    Pubblicato: 25/7/2016
  7. Climate Modeling

    Pubblicato: 18/7/2016
  8. Reinforcement Learning Gone Wrong

    Pubblicato: 11/7/2016
  9. Reinforcement Learning for Artificial Intelligence

    Pubblicato: 3/7/2016
  10. Differential Privacy: how to study people without being weird and gross

    Pubblicato: 27/6/2016
  11. How the sausage gets made

    Pubblicato: 20/6/2016
  12. SMOTE: makin' yourself some fake minority data

    Pubblicato: 13/6/2016
  13. Conjoint Analysis: like AB testing, but on steroids

    Pubblicato: 6/6/2016
  14. Traffic Metering Algorithms

    Pubblicato: 30/5/2016
  15. Um Detector 2: The Dynamic Time Warp

    Pubblicato: 23/5/2016
  16. Inside a Data Analysis: Fraud Hunting at Enron

    Pubblicato: 16/5/2016
  17. What's the biggest #bigdata?

    Pubblicato: 9/5/2016
  18. Data Contamination

    Pubblicato: 2/5/2016
  19. Model Interpretation (and Trust Issues)

    Pubblicato: 25/4/2016
  20. Updates! Political Science Fraud and AlphaGo

    Pubblicato: 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.

Visit the podcast's native language site