Towards Data Science

En podcast af The TDS team

Kategorier:

131 Episoder

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

    Udgivet: 29.4.2020
  2. 30. Interviewing the Medium data science team

    Udgivet: 22.4.2020
  3. 29. Cameron Davidson-Pillon - Data science at Shopify

    Udgivet: 15.4.2020
  4. 28. Emily Robinson - Building a Career in Data Science

    Udgivet: 7.4.2020
  5. 27. Alayna Kennedy - AI safety, AI ethics and the AGI debate

    Udgivet: 30.3.2020
  6. 26. Jeremy Howard - Coronavirus: the data behind the disease

    Udgivet: 20.3.2020
  7. 25. Chris Parmer - Plotly founder on what data science is, and where it's going

    Udgivet: 18.3.2020
  8. 24. Xander Steenbrugge - Machine learning as a creative tool, and the quest for artificial general intelligence

    Udgivet: 10.3.2020
  9. 23. Iain Harlow - Leaving academia for industry and optimizing how you learn

    Udgivet: 3.3.2020
  10. 22. Luke Marsden - Data Science Infrastructure and MLOps

    Udgivet: 23.2.2020
  11. 21. Adam Waksman - Data science is becoming software engineering

    Udgivet: 16.2.2020
  12. 20. Chanchal Chatterjee - Real Talk with AI Leader at Google

    Udgivet: 30.1.2020
  13. 19. Will Koehrsen - Self-Learning Data Science and Sharing the Knowledge on Medium

    Udgivet: 25.1.2020
  14. 18. Edouard Harris - Mastering the data science job hunt

    Udgivet: 15.1.2020
  15. 17. Nate Nichols - Product instinct and data storytelling

    Udgivet: 7.1.2020
  16. 16. Helen Ngo - Real Talk with Machine Learning Engineer

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

    Udgivet: 9.12.2019
  18. 14. Jeremie Harris - Building a Data Science Startup & Getting Into Data Science

    Udgivet: 2.12.2019
  19. 13. Jessica Li - Predicting Snowmelt Patterns with Deep Learning and Satellite Imagery

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

    Udgivet: 6.11.2019

6 / 7

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.

Visit the podcast's native language site