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Measuring soil moisture it is usually not performed on a daily time step due to financial costs, time-consuming measurements and variability of the weather. However, since this information is an important part of many hydrological and water management studies, the author tries to solve this situation by proposing a suitable interpolation method. The goal is to predict daily moisture values so that their conformity with the test data is as high as possible. The calculation is based on the use of soil moisture data ...

Machine learning covers a wide set of supervised and unsupervised algorithms for solving prediction, classification and anomaly detection problems. One of the areas of their applications is for customer churn prediction. To build a model for predicting the switching of customers, data scientists use different demographics, social, transactional, behavioural metrics and features. At the same time, most of the small Bulgarian companies still don?t have the needed versatile and complete customer data. They rely mainl...