KNIME

KNIME 4.0 - Announcing KNIME Hub

KNIME has just announced the latest versions of the analytics platform - KNIME 4.0 and KNIME Server 4.9. The latest versions come with a number of impressive performance and components updates but one feature that we’re particularly excited about is the introduction of KNIME’s new resource platform - KNIME Hub. Learn more about KNIME Analytics

What is KNIME Hub?

KNIME Hub is the place to find KNIME Workflows, nodes and components as well as solutions to your data science challenges. With the KNIME Hub you can:

  • Share your workflows with the KNIME community

  • Browse KNIME extensions and learn about all nodes and explore related workflows to find examples on how to use this extension.

  • Drag and drop nodes or install extensions from the KNIME Hub into your KNIME Analytics Platform

  • Access the community and KNIME Hub from within KNIME Analytics. Open KNIME Hub from within KNIME Analytics, type in your search query and hit enter.

How do I access KNIME Hub?

Simply create an account or use your existing KNIME account and log in to the newly added My-KNIME-Hub Mountpoint from KNIME Analytics Platform 4.0.


For more information on KNIME 4.0, click on the button below.

Build a Serverless Image Recognition Model with KNIME and Amazon AWS Rekognition

Creating an effective image recognition engine can be a difficult task that requires thousands if not millions of curated and tagged images to achieve model accuracy.

Fortunately, major cloud vendors including Amazon AWS, Microsoft and Google provide API’s for their machine learning image recognition services.

In this tutorial our Director of Product Strategy and Analytics Craig Cullum discusses how to build an effective image recognition engine using KNIME Analytics Platform and Amazon AWS Rekognition.

Image Recognition.jpg