Jupyter Architecture

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강의 계획서 보기

검토

4.5(18,838개의 평가)
  • 5 stars
    68.71%
  • 4 stars
    21.78%
  • 3 stars
    6.29%
  • 2 stars
    1.77%
  • 1 star
    1.42%
SH

Feb 01, 2019

All the tools required for ML kick starting was explained very clearly and it helped me a lot in building the understanding of what tools need to be learnt in the field of ML and Data Science.

MA

Nov 29, 2019

This course helped me finding open source tools. I knew about Jupyter Notebooks, but I also got to know more tools. Further, I got IBM subscription too, it would definitely help me in my work.

수업에서
Open Source Tools
This week, you will learn about three popular tools used in data science: GitHub, Jupyter Notebooks, and RStudio IDE. You will become familiar with the features of each tool, and what makes these tools so popular among data scientists today.

강사:

  • Romeo Kienzler

    Romeo Kienzler

    Chief Data Scientist, Course Lead
  • Svetlana Levitan

    Svetlana Levitan

    Senior Developer Advocate with IBM Center for Open Data and AI Technologies

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