Orange Blog
By: AJDA, Dec 16, 2016
BDTN 2016 Workshop: Introduction to Data Science
Every year BEST Ljubljana organizes BEST Days of Technology and Sciences, an event hosting a broad variety of workshops, hackathons and lectures for the students of natural sciences and technology. Introduction to Data Science, organized by our own Laboratory for Bioinformatics, was this year one of them. Related: Intro to Data Mining for Life Scientists The task was to teach and explain basic data mining concepts and techniques in four hours.
By: AJDA, Dec 12, 2016
Dimensionality Reduction by Manifold Learning
The new Orange release (v. 3.3.9) welcomed a few wonderful additions to its widget family, including Manifold Learning widget. The widget reduces the dimensionality of the high-dimensional data and is thus wonderful in combination with visualization widgets. Manifold Learning widget has a simple interface with powerful features. Manifold Learning widget offers five embedding techniques based on scikit-learn library: t-SNE, MDS, Isomap, Locally Linear Embedding and Spectral Embedding. They each handle the mapping differently and also have a specific set of parameters.
By: AJDA, Nov 30, 2016
Data Mining for Political Scientists
Being a political scientist, I did not even hear about data mining before I’ve joined Biolab. And naturally, as with all good things, data mining started to grow on me. Give me some data, connect a bunch of widgets and see the magic happen! But hold on! There are still many social scientists out there who haven’t yet heard about the wonderful world of data mining, text mining and machine learning.
By: AJDA, Nov 25, 2016
Celebrity Lookalike or How to Make Students Love Machine Learning
Recently we’ve been participating at Days of Computer Science, organized by the Museum of Post and Telecommunications and the Faculty of Computer and Information Science, University of Ljubljana, Slovenia. The project brought together pupils and students from around the country and hopefully showed them what computer science is mostly about. Most children would think programming is just typing lines of code. But it’s more than that. It’s a way of thinking, a way to solve problems creatively and efficiently.
By: AJDA, Nov 18, 2016
Top 100 Changemakers in Central and Eastern Europe
Recently Orange and one of its inventors, Blaž Zupan, have been recognized as one of the top 100 changemakers in the region. A 2016 New Europe 100 is an annual list of innovators and entrepreneurs in Central and Eastern Europe highlighting novel approaches to pressing problems. Orange has been recognized for making data more approachable, which has been our goal from the get-go. The tool is continually being developed with the end user in mind - someone who wants to analyze his/her data quickly, visually, interactively, and efficiently.
By: BLAZ, Nov 2, 2016
Orange at Eurostat's Big Data Workshop
A Eurostat’s Big Data Workshop recently took place in Ljubljana. In a presentation we have showcased Orange as a tool to teach data science. The meeting was organised by Statistical Office of Slovenia and by Eurostat, a Statistical Office of the European Union, and was a primary gathering of representatives from national statistical institutes joined within European Statistical System. The meeting discussed possibilities that big data offers to modern statistics and the role it could play in statistical offices around the world.
By: AJDA, Oct 17, 2016
10 Tips and Tricks for Using Orange
TIP #1: Follow tutorials and example workflows to get started. It’s difficult to start using new software. Where does one start, especially a total novice in data mining? For this exact reason we’ve prepared Getting Started With Orange - YouTube tutorials for complete beginners. Example workflows on the other hand can be accessed via Help - Examples. TIP #2: Make use of Orange documentation. You can access it in three ways:
By: AJDA, Oct 10, 2016
The Story of Shadow and Orange
This is a long story. I remember when started my PhD in Italy. There I met a researcher and he said to me: »You should do some simulations on x-ray optics beamline.« »Yes, but how should I do that?« He gave me a big tape, it was 1986. I soon realized it was all code. But it was a code called Shadow. I started to look at the code, to play with it, do some simulations… Soon my boss told me:
By: BLAZ, Oct 2, 2016
Intro to Data Mining for Life Scientists
RNA Club Munich has organized Molecular Life of Stem Cells Conference in Ljubljana this past Thursday, Friday and Saturday. They asked us to organize a four-hour workshop on data mining. And here we were: four of us, Ajda, Anze, Marko and myself (Blaz) run a workshop for 25 students with molecular biology and biochemistry background. We have covered some basic data visualization, modeling (classification) and model scoring, hierarchical clustering and data projection, and finished with a touch of deep-learning by diving into image analysis by deep learning-based embedding.
By: AJDA, Sep 23, 2016
Text Mining: version 0.2.0
Orange3-Text has just recently been polished, updated and enhanced! Our GSoC student Alexey has helped us greatly to achieve another milestone in Orange development and release the latest 0.2.0 version of our text mining add-on. The new release, which is already available on PyPi, includes Wikipedia and SimHash widgets and a rehaul of Bag of Words, Topic Modeling and Corpus Viewer. Wikipedia widget allows retrieving sources from Wikipedia API and can handle multiple queries.