Linear Digressions

289 Episoade

1. Google Flu Trends

   Publicat: 26.03.2018
2. How to pick projects for a professional data science team

   Publicat: 19.03.2018
3. Autoencoders

   Publicat: 12.03.2018
4. When Private Data Isn't Private Anymore

   Publicat: 05.03.2018
5. What makes a machine learning algorithm "superhuman"?

   Publicat: 26.02.2018
6. Open Data and Open Science

   Publicat: 19.02.2018
7. Defining the quality of a machine learning production system

   Publicat: 12.02.2018
8. Auto-generating websites with deep learning

   Publicat: 04.02.2018
9. The Case for Learned Index Structures, Part 2: Hash Maps and Bloom Filters

   Publicat: 29.01.2018
10. The Case for Learned Index Structures, Part 1: B-Trees

    Publicat: 22.01.2018
11. Challenges with Using Machine Learning to Classify Chest X-Rays

    Publicat: 15.01.2018
12. The Fourier Transform

    Publicat: 08.01.2018
13. Statistics of Beer

    Publicat: 02.01.2018
14. Re - Release: Random Kanye

    Publicat: 24.12.2017
15. Debiasing Word Embeddings

    Publicat: 18.12.2017
16. The Kernel Trick and Support Vector Machines

    Publicat: 11.12.2017
17. Maximal Margin Classifiers

    Publicat: 04.12.2017
18. Re - Release: The Cocktail Party Problem

    Publicat: 27.11.2017
19. Clustering with DBSCAN

    Publicat: 20.11.2017
20. The Kaggle Survey on Data Science

    Publicat: 13.11.2017