By: Ajda Pretnar, Jan 4, 2019
We have all attended Statistics 101, and we know that you can never trust correlation coefficients without looking at p-values to check that these correlations are real, right? So why on Earth doesn’t Orange show them?
By: Ajda Pretnar, Dec 21, 2018
Scatter Plot has recently been renovated (under the hood and in GUI), so now it is time to present some essential tricks for working with the cool visualization!
By: IRGOLIC, Nov 22, 2018
In the past few months, Orange has been getting smarter and sleeker. Since version 3.15.0, Orange remembers which distinct widgets users like to connect, adjusting the sorting on the widget search menu accordingly. Additionally, there is a new look for the Edit Links window coming soon. Orange recently implemented a basic form of opt-in usage tracking, specifically targeting how users add widgets to the canvas. Word cloud of widget popularity in Orange.
By: AJDA, Nov 6, 2018
This weekend we were in Lisbon, Portugal, at the Why the World Needs Anthropologists conference, an event that focuses on applied anthropology, design, and how soft skills can greatly benefit the industry. I was there to hold a workshop on Data Ethnography, an approach that tries to combine methods from data science and anthropology into a fruitful interdisciplinary mix! Data Ethnography workshop at this year’s Why the World Needs Anthropologists conference.
By: AJDA, Oct 5, 2018
In the past couple of weeks we have been working hard on introducing a better language support for the Text add-on. Until recently, Orange supported only a limited number of languages, mostly English and some bigger languages, such as Spanish, German, Arabic, Russian… Language support was most evident in the list of stopwords, normalization and POS tagging. Related: Text Workshops in Ljubljana Stopwords come from NLTK library, so we can only offer whatever is available there.
By: AJDA, Sep 21, 2018
Did you know that Orange has already been to space? Rosario Brunetto (IAS-Orsay, France) has been working on the analysis of infrared images of asteroid Ryugu as a member of the JAXA Hayabusa2 team. The Hayabusa2 asteroid sample-return mission aims to retrieve data and samples from the near-Earth Ryugu asteroid and analyze its composition. Hayabusa2 arrived at Ryugu on June 27 and while the spacecraft will return to Earth with a sample only in late 2020, the mission already started collecting and sending back the data.
By: AJDA, Sep 11, 2018
In the past month, we had two workshops that focused on text mining. The first one, Faksi v praksi, was organized by the University of Ljubljana Career Centers, where high school students learned about what we do at the Faculty of Computer and Information Science. We taught them what text mining is and how to group a collection of documents in Orange. The second one took on a more serious note, as the public sector employees joined us for the third set of workshops from the Ministry of Public Affairs.
By: ANDREJA, Aug 27, 2018
On Kickstarter most app ideas don’t get funded. But why is that? When we are looking for possible explanations, it is easy to ascribe the failure to the type of the idea. But what about those rare cases, where an app idea gets funded? Can we figure out why a particular idea succeeded? Our new widget Explain Predictions can do just that - explain why they will succeed. Or at least, explain why the classifier thinks they will.
By: AJDA, Jul 17, 2018
Last week Blaž, Marko and I held a week long introductory Data Mining and Machine Learning course at the Ljubljana Doctoral Summer School 2018. We got a room full of dedicated students and we embarked on a journey through standard and advanced machine learning techniques, all presented of course in Orange. We have covered a wide array of topics, from different clustering techniques (hierarchical clustering, k-means) to predictive models (logistic regression, naive Bayes, decision trees, random forests), regression and regularization, projections, text mining and image analytics.
By: AJDA, Jun 21, 2018
This week we held our first Girls Go Data Mining workshop. The workshop brought together curious women and intuitively introduced them to essential data mining and machine learning concepts. Of course, we used Orange to explore visualizations, build predictive models, perform clustering and dive into text analysis. The workshop was supported by NumFocus through their small development grant initiative and we hope to repeat it next year with even more ladies attending!