MindAccess Application Subscribers

What's new?

• As an entirely new offering, Predictive Learning Essentials package is now available in Simplified Chinese in region China 1.

• Predictive Learning Essentials package is an entry-level package that is Python-centric and light-weight. It supports a small development and execution environment based on small, general-purpose compute.

• Predictive Learning Essentials package allows a data scientist to build prediction models through machine learning techniques, enabling companies to optimize product quality, which reduces potential field failures and performance issues.

• Predictive Learning Essentials features:

  • Data Science Workbench: Managed instances of Jupyter notebook are provided for exploration, training and visualizing models with Python 2/ Python 3 Kernels. Users can flexibly install and update open-source packages to utilize in their model development.

  • Workspace Out-of-the-box functions: Enables users to quickly explore, transform and analyze big data without the need for any additional scripting.

  • Rapidly build and execute predictive models.

Currently not available in China 1:

• Persist Python libraries across restart (on Predictive Learning Essentials)

• UTS reporting includes sub-tenant information for Predictive Learning Storage

• Faster quota usage reporting for Predictive Learning Storage

• Pre-filled-in sources information in PrL UI if possible

• Import PI Data

• S/M/L package to support:

  • Clustered Compute by Spark EMR

  • Multi-Coding Language Support

  • Zeppelin Notebook

  • R kernel for Predictive Learning S, M and L in Jupyter