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What skills should be added to an exisiting Data Science Team?

  • 1.  What skills should be added to an exisiting Data Science Team?

    Posted Mon February 25, 2019 06:23 AM
    I have a team in Systems Hardware Development that does high level data analysis and Data Science on a regular basis. They are all highly skilled in various software platforms (Python, SAS, and Java for the most part), as well as multiple analysis techniques (Regression, ANOVA, T-testing, as well as some machine learning in the group). Our business domain is Semiconductor Manufacturing, due to the area where we work.

    My task is to take this team and build their Data Science Skills for application in our daily tasks. I'm thinking about getting them to build their more repetitive tasks into some sort of AI to free up some of their time. Does anyone have any suggestions for getting that started?

    Thanks!

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    Tracey Newton
    Semiconductor Engineer turned Data Scientist
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    #GlobalAIandDataScience
    #GlobalDataScience


  • 2.  RE: What skills should be added to an exisiting Data Science Team?

    Posted Mon February 25, 2019 12:00 PM
    As your team is already into Machine learning and Python, you can start with Deep Learning models

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    Editor IJSMI
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  • 3.  RE: What skills should be added to an exisiting Data Science Team?

    Posted Tue February 26, 2019 03:38 AM
    As we are here on IBM, I would recommend first SPSS to automatize your Machine Learning Statistics. Secondly the IBM Cloud Private where you could test your AI/ML models. And third, Watson Studio. You could refer to videos of the previous IBM conference. On https://www.ibmai-platform.bemyapp.com/#/conferences, these could help you dive in:
    "Watson Studio: An Extensible Environment for Self-Service AI", "A real-time ML application on IBM Cloud Private for Data", "Building a Secure and Transparent ML Pipeline Using Open Source Technologies", etc.

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    Konan Jean-Claude Kouassi
    Practice Makes Perfect!
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