Banana Data Podcast

59 Avsnitt

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

   Publicerades: 2020-02-28
2. BDN #18: The Everyday of AI

   Publicerades: 2020-02-14
3. BDN #18: The Future (and the now) of AI

   Publicerades: 2020-02-01
4. BDN #16: How do you define AI?

   Publicerades: 2020-01-17
5. BDN #15: Finding Community in Data Science with Reshama Shaikh, key scikit-Learn sprint organizer

   Publicerades: 2020-01-03
6. Why Open Source? feat. Andreas Mueller, Core Contributor of scikit-Learn

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

   Publicerades: 2019-12-07
8. BDN #12: Life after Production, a Tale of Technical Debt with Dan Shiebler, Twitter Eng

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

   Publicerades: 2019-11-01
10. BDN #10: What Makes a Good Data Science Practice

    Publicerades: 2019-09-13
11. BDN #9: The Death of Data Viz, Cross-Cultural AI, and AI Auditing

    Publicerades: 2019-08-30
12. BDN #8: Prioritizing training data, model interpretability, and dodging an AI Winter

    Publicerades: 2019-08-16
13. BDN #7: Building accessible queries, codes, and speech using AI

    Publicerades: 2019-08-02
14. BDN #6: AI Meets World: GDPR, the AI Job Apocalypse, and AI’s carbon footprint

    Publicerades: 2019-07-19
15. BDN #5: A New Kind of Relationship with AI: Robopets, AI Art, and AI EQ

    Publicerades: 2019-07-05
16. BDN #4: The future of data according to predictions, Python 3.0, and people.

    Publicerades: 2019-06-22
17. BDN #3: Culpability in AI failures, Fooling NNs with NNs, AI for cancer screenings, and Epsilon Greedy Multi-Armed Bandits

    Publicerades: 2019-06-07
18. BDN #2: Biased Data & the Perfect Answer, Multi-Armed Bandits, and the GPUs Behind Your Neural Networks

    Publicerades: 2019-05-23
19. BDN #1: Being an Ethical Data Scientist, Federated Learning in Healthcare, and Dropping the “Best Model” Approach

    Publicerades: 2019-05-09