Chai Time Data Science

149 Odcinki

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

   Opublikowany: 26.04.2020
2. Suzana Ilić | Democratising AI w Communities | Machine Learning Tokyo | Inclusivity in AI

   Opublikowany: 23.04.2020
3. CEO of Decision.ai: Dan Becker | What does it take to become a Data Scientist? | Kaggle Learn & Data Science Portfolio

   Opublikowany: 19.04.2020
4. Interview w Mark Landry | Data Science, Kaggle, H2O.ai | AutoML

   Opublikowany: 16.04.2020
5. Interview with Dmytro Mishkin | Computer Vision Research | Kaggle, ML & Education

   Opublikowany: 12.04.2020
6. SharpestMinds Team on Learning to Learn | Data Science, Startups & Hiring

   Opublikowany: 9.04.2020
7. Interview w Sylvain Gugger | fast.ai: The new Framework & course | FastBook & Research at fast.ai

   Opublikowany: 5.04.2020
8. Interview w Erin LeDell | H2O-AutoML & H2O.ai | Open Source | RLadies & WiMLDS Community

   Opublikowany: 2.04.2020
9. Interview with Russ Wolfinger | Statistics, Data Science & Kaggle | NFL Big Data Bowl #14 Pos Sol

   Opublikowany: 29.03.2020
10. Interview with Sergey Kolesnikov | Catalyst: PyTorch Framework for DL & RL | Open Source, Soft. Engg & Community

    Opublikowany: 26.03.2020
11. Interview with "Inversion": Walter Reade | Data Science at Kaggle | Becoming a Data Scientist & Kaggle Grandmaster

    Opublikowany: 22.03.2020
12. Interview with Parul Pandey | Getting Started with Data Science & Blogging | Women in Data Science

    Opublikowany: 19.03.2020
13. Interview with ChristOf Henkel | Google Quest Q&A Labelling Comp 2nd Pos Sol | Rapids.ai & Kaggle

    Opublikowany: 15.03.2020
14. Interview w John Miller | NFL 1st and Future: Analytics Winning Sol | "Real World Data Sci" & Kaggle

    Opublikowany: 12.03.2020
15. Interview with Tarin Clanuwat | Classical Japanese Literature & ML | Kuzushiji recognition kaggle comp

    Opublikowany: 8.03.2020
16. 00 fast.ai 2019 Summaries & Things Jeremy Howard says to do

    Opublikowany: 7.03.2020
17. 08: Where to go from here, General fast.ai advice

    Opublikowany: 7.03.2020
18. 07: fast.ai Lesson-7 ResNet; U-Net; GANs | fast.ai 2019 & Things Jeremy Howard says to do

    Opublikowany: 7.03.2020
19. 06: fast.ai Lesson-6 CNN Deep Dive; Ethics | fast.ai 2019 & Things Jeremy Howard says to do

    Opublikowany: 7.03.2020
20. 05: fast.ai Lesson 5: Backprop; Neural Nets from scratch | fast.ai 2019 & Things Jeremy Howard says to do

    Opublikowany: 7.03.2020