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.
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In order for natural language processing (NLP) and artificial intelligence models to make sense of texts, they need to be broken down into smaller units. This process is called tokenization.
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