Collects, processes, and displays geographic information system data and images, including GPS and satellite imagery, in order to create geographic models and data images for more accurate modeling and forecasting of trends. Placing data within its geography can provide insights that would not be immediately apparent when analyzed with traditional data imaging methods.
Bayesian Networks are one of the most widely used types of probabilistic graphical models. Providing effective solutions for decision making and inference under uncertainty, these networks play a critical role in artificial intelligence, machine learning and data analysis.
Automated machine learning, called AutoML (Automated Machine Learning) in the field of artificial intelligence and machine learning, describes integrated software platforms for the creation, training and optimization of a machine learning model.
Machine-to-Machine (M2M) Communications is a technology that allows machines (devices) to communicate with each other through networks without the need for human intervention.
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