Goran S. Milovanovic, Ph.D.

Goran S. Milovanovic, Ph.D.

Data Analyst at Wikimedia Deutschland and Owner at Data Kolektiv

Bio: I most often take a specific approach to data analytics which is best described as Behavioral Data Science. It encompasses a combination of human expert knowledge with the speed and processing power of machine learning algorithms, applied over large data sets. In a typical application, human experts/system users provide the semantic tagging of necessary information, or expert judgments via some standardized framework. Human knowledge is then combined with the outputs of machine learning algorithms applied over large data sets in order to produce knowledge models: the information structures that are used to draw predictions and further inferences upon newly acquired data.

Visualising Similarity: Maps vs. Graphs

Visualising Similarity: Maps vs. Graphs

The visualization of complex data sets is of essential importance in communicating your data products. Beyond pie charts, histograms, line graphs and other common forms of visual communication begins the reign of data sets that encompass too much information to be easily captured by these simple data displays. A typical context that abounds with complexity […]