Chai Time Data Science

149 Folgen

1. Top Kagglers Panel on Best Practises for Training Models

   Vom: 22.1.2023
2. Announcement + Amed Coulibaly | How to become Kaggle Competitions Grandmaster | #159

   Vom: 29.12.2022
3. Jeremy Howard interviews Kaggle Grandmaster Sanyam Bhutani | #150

   Vom: 23.3.2022
4. Kathleen Walch, Ronald Schmelzer: AI Today Podcast, Creating AI Content: #137

   Vom: 6.10.2021
5. ACM RecSys Winning Solution: Benedikt Schifferer, Bo Liu, Chris Deotte, Even Oldridge #136

   Vom: 31.7.2021
6. "SentDex", Harrison Kinsley: YouTube, Entrepreneurship and NNFS.io #135

   Vom: 23.7.2021
7. Clair Sullivan: Graphs and the Neo4J Ecosystem #134

   Vom: 20.7.2021
8. Emil Wallner: Art & ML, Being Internet Taught, Creating ML Content #133

   Vom: 7.1.2021
9. Andrada Olteanu: Learning Data Science, Journey to becoming Kaggle Master #132

   Vom: 3.1.2021
10. Laura Leal Taixé: Computer Vision & Research at the Dynamic Vision & Learning Group #131

    Vom: 31.12.2020
11. William Falcon: The PyTorch Lightning Story #130

    Vom: 27.12.2020
12. Katy Warr: Fooling AI, Strengthening Deep Neural Networks Book, Adversarial Attacks #129

    Vom: 24.12.2020
13. Laura Fink: Journey to becoming Kaggle Kernels Grandmaster #128

    Vom: 20.12.2020
14. Barr Moses: Data Reliability, Data Downtime, MonteCarlo Data #127

    Vom: 17.12.2020
15. David Luebke: Graphics Research at NVIDIA, Training GANs with Limited Data #126

    Vom: 13.12.2020
16. Torsten Sattler: CV, Mixed Reality, Localisation & Robotics #125

    Vom: 10.12.2020
17. Zachary Mueller: Learning, Applying and contributing to Fastai #124

    Vom: 6.12.2020
18. Arsha Nagrani: Multi-Modal Research, Speaker Diarisation, VoxCeleb #123

    Vom: 3.12.2020
19. Ekaterina Kochmar: Automated Language Teaching & Assessment, NLP, Korbit.ai #122

    Vom: 29.11.2020
20. Richard Craib: The Numerai Story, Building the World's last Hedge Fund #121

    Vom: 26.11.2020