Chai Time Data Science

149 Épisodes

1. Top Kagglers Panel on Best Practises for Training Models

   Publié: 22/01/2023
2. Announcement + Amed Coulibaly | How to become Kaggle Competitions Grandmaster | #159

   Publié: 29/12/2022
3. Jeremy Howard interviews Kaggle Grandmaster Sanyam Bhutani | #150

   Publié: 23/03/2022
4. Kathleen Walch, Ronald Schmelzer: AI Today Podcast, Creating AI Content: #137

   Publié: 06/10/2021
5. ACM RecSys Winning Solution: Benedikt Schifferer, Bo Liu, Chris Deotte, Even Oldridge #136

   Publié: 31/07/2021
6. "SentDex", Harrison Kinsley: YouTube, Entrepreneurship and NNFS.io #135

   Publié: 23/07/2021
7. Clair Sullivan: Graphs and the Neo4J Ecosystem #134

   Publié: 20/07/2021
8. Emil Wallner: Art & ML, Being Internet Taught, Creating ML Content #133

   Publié: 07/01/2021
9. Andrada Olteanu: Learning Data Science, Journey to becoming Kaggle Master #132

   Publié: 03/01/2021
10. Laura Leal Taixé: Computer Vision & Research at the Dynamic Vision & Learning Group #131

    Publié: 31/12/2020
11. William Falcon: The PyTorch Lightning Story #130

    Publié: 27/12/2020
12. Katy Warr: Fooling AI, Strengthening Deep Neural Networks Book, Adversarial Attacks #129

    Publié: 24/12/2020
13. Laura Fink: Journey to becoming Kaggle Kernels Grandmaster #128

    Publié: 20/12/2020
14. Barr Moses: Data Reliability, Data Downtime, MonteCarlo Data #127

    Publié: 17/12/2020
15. David Luebke: Graphics Research at NVIDIA, Training GANs with Limited Data #126

    Publié: 13/12/2020
16. Torsten Sattler: CV, Mixed Reality, Localisation & Robotics #125

    Publié: 10/12/2020
17. Zachary Mueller: Learning, Applying and contributing to Fastai #124

    Publié: 06/12/2020
18. Arsha Nagrani: Multi-Modal Research, Speaker Diarisation, VoxCeleb #123

    Publié: 03/12/2020
19. Ekaterina Kochmar: Automated Language Teaching & Assessment, NLP, Korbit.ai #122

    Publié: 29/11/2020
20. Richard Craib: The Numerai Story, Building the World's last Hedge Fund #121

    Publié: 26/11/2020