149 Epizód

  1. Interview w Ines Montani | Spacy, NLP & Open Source Frameworks | Explosion.ai, Thinc.ai & Prodi.gy

    Közzétéve: 2020. 04. 26.

  2. Suzana Ilić | Democratising AI w Communities | Machine Learning Tokyo | Inclusivity in AI

    Közzétéve: 2020. 04. 23.

  3. CEO of Decision.ai: Dan Becker | What does it take to become a Data Scientist? | Kaggle Learn & Data Science Portfolio

    Közzétéve: 2020. 04. 19.

  4. Interview w Mark Landry | Data Science, Kaggle, H2O.ai | AutoML

    Közzétéve: 2020. 04. 16.

  5. Interview with Dmytro Mishkin | Computer Vision Research | Kaggle, ML & Education

    Közzétéve: 2020. 04. 12.

  6. SharpestMinds Team on Learning to Learn | Data Science, Startups & Hiring

    Közzétéve: 2020. 04. 09.

  7. Interview w Sylvain Gugger | fast.ai: The new Framework & course | FastBook & Research at fast.ai

    Közzétéve: 2020. 04. 05.

  8. Interview w Erin LeDell | H2O-AutoML & H2O.ai | Open Source | RLadies & WiMLDS Community

    Közzétéve: 2020. 04. 02.

  9. Interview with Russ Wolfinger | Statistics, Data Science & Kaggle | NFL Big Data Bowl #14 Pos Sol

    Közzétéve: 2020. 03. 29.

  10. Interview with Sergey Kolesnikov | Catalyst: PyTorch Framework for DL & RL | Open Source, Soft. Engg & Community

    Közzétéve: 2020. 03. 26.

  11. Interview with "Inversion": Walter Reade | Data Science at Kaggle | Becoming a Data Scientist & Kaggle Grandmaster

    Közzétéve: 2020. 03. 22.

  12. Interview with Parul Pandey | Getting Started with Data Science & Blogging | Women in Data Science

    Közzétéve: 2020. 03. 19.

  13. Interview with ChristOf Henkel | Google Quest Q&A Labelling Comp 2nd Pos Sol | Rapids.ai & Kaggle

    Közzétéve: 2020. 03. 15.

  14. Interview w John Miller | NFL 1st and Future: Analytics Winning Sol | "Real World Data Sci" & Kaggle

    Közzétéve: 2020. 03. 12.

  15. Interview with Tarin Clanuwat | Classical Japanese Literature & ML | Kuzushiji recognition kaggle comp

    Közzétéve: 2020. 03. 08.

  16. 00 fast.ai 2019 Summaries & Things Jeremy Howard says to do

    Közzétéve: 2020. 03. 07.

  17. 08: Where to go from here, General fast.ai advice

    Közzétéve: 2020. 03. 07.

  18. 07: fast.ai Lesson-7 ResNet; U-Net; GANs | fast.ai 2019 & Things Jeremy Howard says to do

    Közzétéve: 2020. 03. 07.

  19. 06: fast.ai Lesson-6 CNN Deep Dive; Ethics | fast.ai 2019 & Things Jeremy Howard says to do

    Közzétéve: 2020. 03. 07.

  20. 05: fast.ai Lesson 5: Backprop; Neural Nets from scratch | fast.ai 2019 & Things Jeremy Howard says to do

    Közzétéve: 2020. 03. 07.

5 / 8

Chai Time Data Science show is a series where Sanyam Bhutani interviews his Data Science Heroes: Practitioners, Kagglers & Researchers about all things Data Science

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