Linear Digressions

289 Episodo

1. Google Flu Trends

   Publicado: 26/3/2018
2. How to pick projects for a professional data science team

   Publicado: 19/3/2018
3. Autoencoders

   Publicado: 12/3/2018
4. When Private Data Isn't Private Anymore

   Publicado: 5/3/2018
5. What makes a machine learning algorithm "superhuman"?

   Publicado: 26/2/2018
6. Open Data and Open Science

   Publicado: 19/2/2018
7. Defining the quality of a machine learning production system

   Publicado: 12/2/2018
8. Auto-generating websites with deep learning

   Publicado: 4/2/2018
9. The Case for Learned Index Structures, Part 2: Hash Maps and Bloom Filters

   Publicado: 29/1/2018
10. The Case for Learned Index Structures, Part 1: B-Trees

    Publicado: 22/1/2018
11. Challenges with Using Machine Learning to Classify Chest X-Rays

    Publicado: 15/1/2018
12. The Fourier Transform

    Publicado: 8/1/2018
13. Statistics of Beer

    Publicado: 2/1/2018
14. Re - Release: Random Kanye

    Publicado: 24/12/2017
15. Debiasing Word Embeddings

    Publicado: 18/12/2017
16. The Kernel Trick and Support Vector Machines

    Publicado: 11/12/2017
17. Maximal Margin Classifiers

    Publicado: 4/12/2017
18. Re - Release: The Cocktail Party Problem

    Publicado: 27/11/2017
19. Clustering with DBSCAN

    Publicado: 20/11/2017
20. The Kaggle Survey on Data Science

    Publicado: 13/11/2017