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    Data Science Spotlight



    DevOps for ML Applications: CI/CD Workflows

    As a part of the IBM Data Science Elite (DSE) engagements, we've had many conversations with customers about enabling CI/CD in the machine learning (ML) pipeline - as a result I've decided to summarize the steps in a blog. The blog outlines the steps for implementing CI/CD workflows using IBM Watson Studio, and IBM Watson Machine Learning...Read more



    41 Entries
    4 months ago

    User Benefits of Using AutoAI

    We are delighted to announce the general availability of AutoAI in Watson Studio . We first previewed this in February for Think! 2019. With this release, we extend the portfolio of best-in-class data science and machine learning tools available in Watson Studio, the premier enterprise data science platform. This release focuses on the automation of the end-to-end model building lifecycle, from data ingestion to model deployment. With this release, Watson Studio continues its mission of boosting the productivity of data science teams large and small.

    #Watson Studio

    4 months ago

    Preview, Profile and Visualize your data using Data Refinery @ SCALE

    With IBM® Watson™ Studio, IBM has been ushering its customers into the era of AI. We from offering management have been working diligently to fortify and build upon the power of Watson Studio in order to further accelerate the multi-cloud AI journey, which enterprises across the globe have embarked on.

    #Machine Learning

    4 months ago

    Step by step instructions on this github repo.

    No Coding, Python or R required. Just plug your high-dimensional data and visualize it with the Data Refinery Tool in Watson Studio. Don’t get me wrong, I love coding in Python and R but when it comes to visualizing data fast, I just use Data Refinery.

    #Data Set
    #Data Visualization

    17 days ago

    one month ago