Chai Time Data Science

149 Epizód

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

   Közzétéve: 2020. 01. 09.
2. Interview with Arno Candel | AutoML | Physics | H2O.ai | CTDS.Show

   Közzétéve: 2019. 12. 12.
3. Interview with Jeremy Howard | fast.ai | Kaggle | Machine Learning Research

   Közzétéve: 2019. 12. 08.
4. DistilBERT | Research at Hugging Face | NLP and Open Source | Interview with Victor Sanh

   Közzétéve: 2019. 12. 05.
5. Kaggle Discussions Rank #1, x2 Grandmaster: Dr. Jean Francois Puget | IEEE-CIS Comp 2nd Pos Sol

   Közzétéve: 2019. 11. 21.
6. Medalling in all Entered Kaggle Comp | IEEE-CIS Comp 6th Pos Sol | Interview with Dr Philipp Singer

   Közzétéve: 2019. 11. 04.
7. Predicting Molecular Prop Kaggle Comp 2nd Place Sol | Interview with Kaggle Master Andres Torrubia

   Közzétéve: 2019. 11. 01.
8. DeepMind & AlphaGo | Deep Learning Research | Swift For Tensorflow | Interview with Dr. Marc Lanctot

   Közzétéve: 2019. 10. 27.
9. Swift For Tensorflow | Software Engineering Internship at Google | Interview with Bart Chrazaszcz

   Közzétéve: 2019. 10. 27.
10. Boris Dorado Interview | Gold Medalling in First Kaggle Comp | Predicting Molecular Prop Kaggle Comp Solution

    Közzétéve: 2019. 10. 21.
11. Chip Huyen Interview: Machine Learning Interviews | MOOCS and Deep Learning at NVIDIA

    Közzétéve: 2019. 10. 18.
12. Generative Deep Learning, Technical Writing & Data Science Consulting | Interview with David Foster

    Közzétéve: 2019. 10. 15.
13. Hugging Face, Transformers | NLP Research and Open Source | Interview with Julien Chaumond

    Közzétéve: 2019. 10. 02.
14. Producing a Chainsmokers Remix with AI (MusicAutobot), DAWNBench & fast.ai | Interview with Andrew Shaw

    Közzétéve: 2019. 09. 28.
15. Medical Science, Open Source and AI | Interview with Dr. Judy Gichoya

    Közzétéve: 2019. 09. 08.
16. "And the Bit Goes Down", Deep Learning Research, Research at FAIR | Interview with Pierre Stock

    Közzétéve: 2019. 09. 05.
17. Deep Learning Applied to Audio, Self Studying ML | Interview with fast.ai fellow Robert Bracco

    Közzétéve: 2019. 09. 01.
18. MuseNet, OpenAI and Deep Learning Research: Interview with Christine Payne

    Közzétéve: 2019. 08. 25.
19. Interview with the Leader of mlcourse.ai, Dr. Yury Kashnitsky | Chai Time Data Science

    Közzétéve: 2019. 08. 23.
20. Albumentations Framework: a fast image augmentations library | Interview with Dr. Vladimir Iglovikov

    Közzétéve: 2019. 08. 19.