149 Avsnitt

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

    Publicerades: 2020-04-26

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

    Publicerades: 2020-04-23

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

    Publicerades: 2020-04-19

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

    Publicerades: 2020-04-16

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

    Publicerades: 2020-04-12

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

    Publicerades: 2020-04-09

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

    Publicerades: 2020-04-05

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

    Publicerades: 2020-04-02

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

    Publicerades: 2020-03-29

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

    Publicerades: 2020-03-26

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

    Publicerades: 2020-03-22

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

    Publicerades: 2020-03-19

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

    Publicerades: 2020-03-15

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

    Publicerades: 2020-03-12

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

    Publicerades: 2020-03-08

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

    Publicerades: 2020-03-07

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

    Publicerades: 2020-03-07

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

    Publicerades: 2020-03-07

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

    Publicerades: 2020-03-07

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

    Publicerades: 2020-03-07

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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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