Linear Digressions

289 Épisodes

1. Google Flu Trends

   Publié: 26/03/2018
2. How to pick projects for a professional data science team

   Publié: 19/03/2018
3. Autoencoders

   Publié: 12/03/2018
4. When Private Data Isn't Private Anymore

   Publié: 05/03/2018
5. What makes a machine learning algorithm "superhuman"?

   Publié: 26/02/2018
6. Open Data and Open Science

   Publié: 19/02/2018
7. Defining the quality of a machine learning production system

   Publié: 12/02/2018
8. Auto-generating websites with deep learning

   Publié: 04/02/2018
9. The Case for Learned Index Structures, Part 2: Hash Maps and Bloom Filters

   Publié: 29/01/2018
10. The Case for Learned Index Structures, Part 1: B-Trees

    Publié: 22/01/2018
11. Challenges with Using Machine Learning to Classify Chest X-Rays

    Publié: 15/01/2018
12. The Fourier Transform

    Publié: 08/01/2018
13. Statistics of Beer

    Publié: 02/01/2018
14. Re - Release: Random Kanye

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

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

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

    Publié: 04/12/2017
18. Re - Release: The Cocktail Party Problem

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

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

    Publié: 13/11/2017