ETL and Advanced Machine Learning - Open Source, No Code Required

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KNIME Analytics Platform Workbench

Join a free webinar on September 16 at 1:30 PM UTC-5 (Chicago) for a quick, practical introduction to KNIME Analytics Platform.

Advanced data preparation and blending, and leading edge machine learning in a modern data science platform that lets you leverage your experience. Open source, free, and easy to install and use.

As a data science professional, you have challenges:

  • Reducing the time needed to automate gathering and preparing data so you have time to focus on what’s important.
  • Integrating new data science methods, from simple to sophisticated such as deep learning, advanced ML, text mining, time series, and more from a single platform.
  • Extending your capabilities without requiring an up-front contractual commitment or being stuck with a limited version. 

knime_icons_rz With KNIME, you have:

  • A modern, open source data science platform with a visual workflow editor that lets you focus on learning methods rather than learning the tool itself.
  • An extremely wide range of data sources, tools, and methods - many based on leading open source projects - all within one platform. 
  • Software that is open source and free. No limitations on methods, data, or operating systems.
  • A strong KNIME community to support you, including thousands of freely available working examples.

KNIME: The Software and the Company

At KNIME, we build software for fast, easy and intuitive access to advanced data science, helping organizations drive innovation. For over a decade, a thriving community of data scientists in over 60 countries has been working with our platform on every kind of data: from numbers to images, molecules to humans, signals to complex networks, and simple statistics to big data analytics.

KNIME Summit
Data Science with KNIME: an Introduction Webinar
Free webinar: September 16, 2020, 1:30 - 2:30 PM UTC-5 (Chicago)
A quick, practical introduction to KNIME Analytics Platform