By: Zala Gruden, Jun 2, 2022
How to grow trees in a marmalade factory?
We visited fourthgraders in our local elementary school and taught them about clustering and data collection.
By: Zala Gruden, Jun 2, 2022
We visited fourthgraders in our local elementary school and taught them about clustering and data collection.
By: Ela Praznik, May 25, 2022
The Survival Analysis add-on offers accesible tools for survival analysis, the Kaplan-Meier widget being a prime example. In this blogpost we provide an introduction to the Kaplan-Meier Estimator using a simple example and show how the tool can be used in Orange on larger datasets.
By: Ajda Pretnar Žagar, May 20, 2022
Confusion matrix shows classification error, but what is a suitable alternative for observing regression errors in Orange?
By: Noah Novšak, May 13, 2022
The Interactions widget has been added back to Orange 3. Illustrating how to use attribute interactions to improve predictive models.
By: Zala Gruden, May 12, 2022
Read more about the project in the blogpost and Check out the site to find out more about the prepaired activities.
By: Blaž Zupan, Apr 26, 2022
A conference on Artificial Intelligence in Medicine is hosting our tutorial on training of crucial mechanics behind data science and machine learning with Orange.
By: Blaž Zupan, Apr 26, 2022
On Thursday, May 26, 2022, at 16:00 CET, we will organize a webinar for educators who either use or are interested in using Orange Data Mining in data science training. The webinar will feature a short demo on using Orange for training in machine learning. We will showcase several data visualization and exploration widgets and show you some tricks that you could use in your training sessions. We will also present our GitHub repository with our openly-available Orange training material.
By: Ajda Pretnar Žagar, Mar 18, 2022
Text add-on recently got extended with LDAvis widget, a visualization that enables exploring word frequencies in LDA-generated topics. See how to construct LDAvis pipeline in Orange.
By: Primož Godec, Feb 11, 2022
The core element of Orange's image analysis is embedding images in the vector space, which just became a feaster with our infrastructure upgrades. We use this opportunity to show possible ways of analyzing images through observing similar images and classifying them.
By: Ajda Pretnar Žagar, Feb 1, 2022
Data scientists have a specific language. Learn about what certain terms mean and become more confident in your data science speak!