Linear Digressions

A podcast by Ben Jaffe and Katie Malone

Categorie:

289 Episodio

  1. Heterogeneous Treatment Effects

    Pubblicato: 20/1/2019
  2. Pre-training language models for natural language processing problems

    Pubblicato: 14/1/2019
  3. Facial Recognition, Society, and the Law

    Pubblicato: 7/1/2019
  4. Re-release: Word2Vec

    Pubblicato: 31/12/2018
  5. Re - Release: The Cold Start Problem

    Pubblicato: 23/12/2018
  6. Convex (and non-convex) Optimization

    Pubblicato: 17/12/2018
  7. The Normal Distribution and the Central Limit Theorem

    Pubblicato: 9/12/2018
  8. Software 2.0

    Pubblicato: 2/12/2018
  9. Limitations of Deep Nets for Computer Vision

    Pubblicato: 18/11/2018
  10. Building Data Science Teams

    Pubblicato: 12/11/2018
  11. Optimized Optimized Web Crawling

    Pubblicato: 4/11/2018
  12. Optimized Web Crawling

    Pubblicato: 28/10/2018
  13. Better Know a Distribution: The Poisson Distribution

    Pubblicato: 22/10/2018
  14. Searching for Datasets with Google

    Pubblicato: 15/10/2018
  15. It's our fourth birthday

    Pubblicato: 8/10/2018
  16. Gigantic Searches in Particle Physics

    Pubblicato: 30/9/2018
  17. Data Engineering

    Pubblicato: 24/9/2018
  18. Text Analysis for Guessing the NYTimes Op-Ed Author

    Pubblicato: 16/9/2018
  19. The Three Types of Data Scientists, and What They Actually Do

    Pubblicato: 9/9/2018
  20. Agile Development for Data Scientists, Part 2: Where Modifications Help

    Pubblicato: 26/8/2018

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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