It's strangely versatile ...

Abstract: In this paper, forecasting algorithms were tested on renewable energy production data and their comparative analysis was carried outThe machine learning methods that were used in the work ...

Nowadays, remotely sensed data has increased dramatically. Microwaves and optical images with different spatial and temporal resolutions are available and are used to monitor a variety of ...

A powerful and intuitive Python library for exploratory data analysis and data profiling. Pydata-visualizer automatically analyzes your dataset, generates interactive visualizations, and provides ...

Three books unpack our infatuation with prediction, and what we lose when we outsource this task to machines. To be human is, fundamentally, to be a forecaster. Occasionally a pretty good one. Trying ...

Abstract: In the context of the big data era, the extensive penetration of the Internet and the rapid development of database technology have led to an explosive growth in the amount of data generated ...