By: Marko Toplak, Nov 14, 2022
Orange in a synchrotron
We taught a three-day workshop on Orange for spectral data in UK’s national synchrotron, Diamond Light Source.
Orange Blog
By: Blaž Zupan, Apr 26, 2022
Training with Orange: A Tutorial at AIME 2022 in Halifax
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
Orange Webinar for Educators #1: Where to Start?
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: Blaž Zupan, Jun 17, 2021
PCA vs. MDS vs. t-SNE
Oh, the joy and variety of data embedding and projection techniques!
By: Ajda Pretnar, May 30, 2021
Data Mining for Archaeologists, part II
How to preprocess and map archaeological data sets.
By: Ajda Pretnar, Apr 23, 2021
Data Mining for Archaeologists, part I
A workshop about different kinds of analyses archaeologists can do in Orange.
By: Blaž Zupan, Feb 8, 2020
Orange Lecture Notes
Lecture notes for Orange workshops on machine learning and data science are now available online.
By: Ajda Pretnar, Nov 20, 2019
Explaining Models: Workshop in Belgrade
We explained how different models mean different things and how to interpret them at a recent tutorial in Belgrade.
By: Ajda Pretnar, Nov 15, 2019
Explaining Customer Segments for Business
Explaining customer base for businesses to make informed decisions. We present the case for Telco companies.
By: Ajda Pretnar, Jul 26, 2019
Doctoral Summer School
For the second year in a row we took part in the Ljubljana Doctoral Summer School, organized by the School of Economics and Business.
