Data Skeptic

540 Episodes

1. Visualization and Interpretability

   Published: 1/31/2020
2. Interpretable One Shot Learning

   Published: 1/26/2020
3. Fooling Computer Vision

   Published: 1/22/2020
4. Algorithmic Fairness

   Published: 1/14/2020
5. Interpretability

   Published: 1/7/2020
6. NLP in 2019

   Published: 12/31/2019
7. The Limits of NLP

   Published: 12/24/2019
8. Jumpstart Your ML Project

   Published: 12/15/2019
9. Serverless NLP Model Training

   Published: 12/10/2019
10. Team Data Science Process

    Published: 12/3/2019
11. Ancient Text Restoration

    Published: 12/1/2019
12. ML Ops

    Published: 11/27/2019
13. Annotator Bias

    Published: 11/23/2019
14. NLP for Developers

    Published: 11/20/2019
15. Indigenous American Language Research

    Published: 11/13/2019
16. Talking to GPT-2

    Published: 10/31/2019
17. Reproducing Deep Learning Models

    Published: 10/23/2019
18. What BERT is Not

    Published: 10/14/2019
19. SpanBERT

    Published: 10/8/2019
20. BERT is Shallow

    Published: 9/23/2019