Chai Time Data Science

149 Odcinki

1. Eugene Khvedchenya | Kaggle, Computer Vision & Best Code Practises | Severstal Steel, 4th Pos Sol

   Opublikowany: 9.01.2020
2. Interview with Arno Candel | AutoML | Physics | H2O.ai | CTDS.Show

   Opublikowany: 12.12.2019
3. Interview with Jeremy Howard | fast.ai | Kaggle | Machine Learning Research

   Opublikowany: 8.12.2019
4. DistilBERT | Research at Hugging Face | NLP and Open Source | Interview with Victor Sanh

   Opublikowany: 5.12.2019
5. Kaggle Discussions Rank #1, x2 Grandmaster: Dr. Jean Francois Puget | IEEE-CIS Comp 2nd Pos Sol

   Opublikowany: 21.11.2019
6. Medalling in all Entered Kaggle Comp | IEEE-CIS Comp 6th Pos Sol | Interview with Dr Philipp Singer

   Opublikowany: 4.11.2019
7. Predicting Molecular Prop Kaggle Comp 2nd Place Sol | Interview with Kaggle Master Andres Torrubia

   Opublikowany: 1.11.2019
8. DeepMind & AlphaGo | Deep Learning Research | Swift For Tensorflow | Interview with Dr. Marc Lanctot

   Opublikowany: 27.10.2019
9. Swift For Tensorflow | Software Engineering Internship at Google | Interview with Bart Chrazaszcz

   Opublikowany: 27.10.2019
10. Boris Dorado Interview | Gold Medalling in First Kaggle Comp | Predicting Molecular Prop Kaggle Comp Solution

    Opublikowany: 21.10.2019
11. Chip Huyen Interview: Machine Learning Interviews | MOOCS and Deep Learning at NVIDIA

    Opublikowany: 18.10.2019
12. Generative Deep Learning, Technical Writing & Data Science Consulting | Interview with David Foster

    Opublikowany: 15.10.2019
13. Hugging Face, Transformers | NLP Research and Open Source | Interview with Julien Chaumond

    Opublikowany: 2.10.2019
14. Producing a Chainsmokers Remix with AI (MusicAutobot), DAWNBench & fast.ai | Interview with Andrew Shaw

    Opublikowany: 28.09.2019
15. Medical Science, Open Source and AI | Interview with Dr. Judy Gichoya

    Opublikowany: 8.09.2019
16. "And the Bit Goes Down", Deep Learning Research, Research at FAIR | Interview with Pierre Stock

    Opublikowany: 5.09.2019
17. Deep Learning Applied to Audio, Self Studying ML | Interview with fast.ai fellow Robert Bracco

    Opublikowany: 1.09.2019
18. MuseNet, OpenAI and Deep Learning Research: Interview with Christine Payne

    Opublikowany: 25.08.2019
19. Interview with the Leader of mlcourse.ai, Dr. Yury Kashnitsky | Chai Time Data Science

    Opublikowany: 23.08.2019
20. Albumentations Framework: a fast image augmentations library | Interview with Dr. Vladimir Iglovikov

    Opublikowany: 19.08.2019