131 Episoade

  1. 31. Russell Pollari - Building habits and breaking into data science

    Publicat: 29.04.2020
  2. 30. Interviewing the Medium data science team

    Publicat: 22.04.2020
  3. 29. Cameron Davidson-Pillon - Data science at Shopify

    Publicat: 15.04.2020
  4. 28. Emily Robinson - Building a Career in Data Science

    Publicat: 07.04.2020
  5. 27. Alayna Kennedy - AI safety, AI ethics and the AGI debate

    Publicat: 30.03.2020
  6. 26. Jeremy Howard - Coronavirus: the data behind the disease

    Publicat: 20.03.2020
  7. 25. Chris Parmer - Plotly founder on what data science is, and where it's going

    Publicat: 18.03.2020
  8. 24. Xander Steenbrugge - Machine learning as a creative tool, and the quest for artificial general intelligence

    Publicat: 10.03.2020
  9. 23. Iain Harlow - Leaving academia for industry and optimizing how you learn

    Publicat: 03.03.2020
  10. 22. Luke Marsden - Data Science Infrastructure and MLOps

    Publicat: 23.02.2020
  11. 21. Adam Waksman - Data science is becoming software engineering

    Publicat: 16.02.2020
  12. 20. Chanchal Chatterjee - Real Talk with AI Leader at Google

    Publicat: 30.01.2020
  13. 19. Will Koehrsen - Self-Learning Data Science and Sharing the Knowledge on Medium

    Publicat: 25.01.2020
  14. 18. Edouard Harris - Mastering the data science job hunt

    Publicat: 15.01.2020
  15. 17. Nate Nichols - Product instinct and data storytelling

    Publicat: 07.01.2020
  16. 16. Helen Ngo - Real Talk with Machine Learning Engineer

    Publicat: 16.12.2019
  17. 15. Ian Xiao - Why Machine Learning Is More Boring Than You May Think

    Publicat: 09.12.2019
  18. 14. Jeremie Harris - Building a Data Science Startup & Getting Into Data Science

    Publicat: 02.12.2019
  19. 13. Jessica Li - Predicting Snowmelt Patterns with Deep Learning and Satellite Imagery

    Publicat: 25.11.2019
  20. 12. Rachael Tatman - Data science at Kaggle

    Publicat: 06.11.2019

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Note: The TDS podcast's current run has ended. Researchers and business leaders at the forefront of the field unpack the most pressing questions around data science and AI.

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