By: BLAZ, Nov 8, 2017
We have just completed the hands-on course on data science at one the most famous Indian educational institutions, Indian Statistical Institute. A one week course was invited by Institute’s director Prof. Dr. Sanghamitra Bandyopadhyay, and financially supported by the founding of India’s Global Initiative of Academic Networks. Indian Statistical Institute lies in the hearth of old Kolkata. A peaceful oasis of picturesque campus with mango orchards and waterlily lakes was founded by Prof.
By: AJDA, Nov 3, 2017
We know you’ve missed it. We’ve been getting many requests to bring back Neural Network widget, but we also had many reservations about it. Neural networks are powerful and great, but to do them right is not straight-forward. And to do them right in the context of a GUI-based visual programming tool like Orange is a twisted double helix of a roller coaster. Do we make each layer a widget and then stack them?
By: AJDA, Oct 26, 2017
Our streak of workshops continues. This time we taught professionals from public administration how they can leverage data analytics and machine learning to retrieve interesting information from surveys. Thanks to the Ministry of Public Administration, this is only the first in a line of workshops on data science we are preparing for public sector employees. For this purpose, we have designed EnKlik Anketa widget, which you can find in Prototypes add-on.
By: ASTARIC, Oct 13, 2017
Last week, we presented Orange at the Festival of Open Data, a mini-conference organized by the Slovenian government, dedicated to the promotion of transparent access to government data. In a 10 minute presentation, we showed how Orange can be used to visualize and explore what kinds of vehicles were registered for the first time in Slovenia in 2017. The original dataset is available at theOPSI portal and it consists of 73 files, one for each month since January 2012.
By: AJDA, Sep 22, 2017
Two days ago we held another Introduction to Data Mining workshop at our faculty. This time the target audience was a group of public sector professionals and our challenge was finding the right data set to explain key data mining concepts. Iris is fun, but not everyone is a biologist, right? Fortunately, we found this really nice data set with ballot counts from the Slovenian National Assembly (thanks to Parlameter).
By: BLAZ, Sep 15, 2017
With over 262 member companies, Station Houston is the largest hub for tech startups in Houston. One of its members is also Genialis, a life science data exploration company that emerged from our lab and is now delivering pipelines and user-friendly apps for analytics in systems biology. Thanks to the invitation by the director of operations Alex de la Fuente, we gave a seminar on Data Science for Everyone. We spoke about how Orange can support anyone to learn about data science and then use machine learning on their own data.
By: AJDA, Aug 28, 2017
One day Blaž and Janez came to us and started complaining how slow Orange download is in the US. Since they hold a large course at Baylor College of Medicine every year, this causes some frustration. Related: Introduction to Data Mining Course in Houston But we have the data and we’ve promptly tried to confirm their complaints by analyzing them… well, in Orange! First, let us observe the data. We have 4887 recorded download sessions with one meta feature reporting on the country of the download and four features with time, size, speed in bytes and speed in gigabytes of the download.
By: BLAZ, Aug 11, 2017
Every fall I teach a course on Introduction to Data Mining. And while the course is really on statistical learning and its applications, I also venture into classification trees. For several reasons. First, I can introduce information gain and with it feature scoring and ranking. Second, classification trees are one of the first machine learning approaches co-invented by engineers (Ross Quinlan) and statisticians (Leo Breiman, Jerome Friedman, Charles J. Stone, Richard A.
By: AJDA, Aug 8, 2017
How do you explain text mining in 3 hours? Is it even possible? Can someone be ready to build predictive models and perform clustering in a single afternoon? It seems so, especially when Orange is involved. Yesterday, on August 7, we held a 3-hour workshop on text mining and text analysis for a large crowd of esteemed researchers at Digital Humanities 2017 in Montreal, Canada. Surely, after 3 hours everyone was exhausted, both the audience and the lecturers.
By: AJDA, Aug 4, 2017
As always, we’ve been working hard to bring you new functionalities and improvements. Recently, we’ve released Orange version 3.4.5 and Orange3-Text version 0.2.5. We focused on the Text add-on since we are lately holding a lot of text mining workshops. The next one will be at Digital Humanities 2017 in Montreal, QC, Canada in a couple of days and we simply could not resist introducing some sexy new features. Related: Text Preprocessing