DataFramed

En podcast af DataCamp - Mandage

Mandage

Kategorier:

125 Episoder

  1. #26 Spreadsheets in Data Science

    Udgivet: 11.6.2018
  2. #25 Data Science for Everyone

    Udgivet: 4.6.2018
  3. #24 Data Science in the Cloud

    Udgivet: 28.5.2018
  4. #23 Online Experiments at Booking.com

    Udgivet: 21.5.2018
  5. #22 Robust Data Science with Statistical Modeling

    Udgivet: 14.5.2018
  6. #21 The Fight Against Cancer

    Udgivet: 7.5.2018
  7. #20 Kaggle and the Future of Data Science

    Udgivet: 30.4.2018
  8. #19 Automated Machine Learning

    Udgivet: 23.4.2018
  9. #18 Deep Learning at NVIDIA

    Udgivet: 16.4.2018
  10. #17 Biology and Deep Learning

    Udgivet: 9.4.2018
  11. #15 Building Data Science Teams

    Udgivet: 26.3.2018
  12. #13 Fake News Detection with Data Science

    Udgivet: 12.3.2018
  13. #12 Data Science, Nuclear Engineering and the Open Source

    Udgivet: 5.3.2018
  14. #11 Data Science at BuzzFeed and the Digital Media Landscape

    Udgivet: 26.2.2018
  15. #10 Data Science, the Environment and MOOCs

    Udgivet: 19.2.2018
  16. #9 Data Science and Online Experiments at Etsy

    Udgivet: 12.2.2018
  17. #8 Data Science, Astronomy and the Open Source

    Udgivet: 5.2.2018
  18. #7 Data Science at Airbnb

    Udgivet: 29.1.2018
  19. #5 Data Science, Epidemiology and Public Health

    Udgivet: 17.1.2018
  20. #4 How Data Science is Revolutionizing the Trucking Industry

    Udgivet: 17.1.2018

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DataFramed is a podcast for data & analytics leaders looking to scale data science throughout an organization by equipping them with the insights to drive value from data science and create a data-driven culture. Each episode will feature a conversation with various data science and analytics leaders who are transforming their organizations and are at the forefront of the data revolution. Whether you’re just getting started in your data career, or you’re a data leader looking to scale data-driven decisions in your organization, you’ve found the right community. Welcome to DataFramed!

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