Banana Data Podcast

59 Afleveringen

1. BDN #19: How We Talk about AI, feat. Karen Hao, MIT Technology Review

   Gepubliceerd: 28-2-2020
2. BDN #18: The Everyday of AI

   Gepubliceerd: 14-2-2020
3. BDN #18: The Future (and the now) of AI

   Gepubliceerd: 1-2-2020
4. BDN #16: How do you define AI?

   Gepubliceerd: 17-1-2020
5. BDN #15: Finding Community in Data Science with Reshama Shaikh, key scikit-Learn sprint organizer

   Gepubliceerd: 3-1-2020
6. Why Open Source? feat. Andreas Mueller, Core Contributor of scikit-Learn

   Gepubliceerd: 20-12-2019
7. BDN #13: Predicting AI Trends for 2020

   Gepubliceerd: 7-12-2019
8. BDN #12: Life after Production, a Tale of Technical Debt with Dan Shiebler, Twitter Eng

   Gepubliceerd: 15-11-2019
9. BDN #11: The Essentials (and not-so essentials) of Data Science Pipelines

   Gepubliceerd: 1-11-2019
10. BDN #10: What Makes a Good Data Science Practice

    Gepubliceerd: 13-9-2019
11. BDN #9: The Death of Data Viz, Cross-Cultural AI, and AI Auditing

    Gepubliceerd: 30-8-2019
12. BDN #8: Prioritizing training data, model interpretability, and dodging an AI Winter

    Gepubliceerd: 16-8-2019
13. BDN #7: Building accessible queries, codes, and speech using AI

    Gepubliceerd: 2-8-2019
14. BDN #6: AI Meets World: GDPR, the AI Job Apocalypse, and AI’s carbon footprint

    Gepubliceerd: 19-7-2019
15. BDN #5: A New Kind of Relationship with AI: Robopets, AI Art, and AI EQ

    Gepubliceerd: 5-7-2019
16. BDN #4: The future of data according to predictions, Python 3.0, and people.

    Gepubliceerd: 22-6-2019
17. BDN #3: Culpability in AI failures, Fooling NNs with NNs, AI for cancer screenings, and Epsilon Greedy Multi-Armed Bandits

    Gepubliceerd: 7-6-2019
18. BDN #2: Biased Data & the Perfect Answer, Multi-Armed Bandits, and the GPUs Behind Your Neural Networks

    Gepubliceerd: 23-5-2019
19. BDN #1: Being an Ethical Data Scientist, Federated Learning in Healthcare, and Dropping the “Best Model” Approach

    Gepubliceerd: 9-5-2019