Algorithm is mathematical logic or a set of rules used to perform calculations. Starting with an initial input (which can be zero or unvalued), logic or rules are encoded or written into the software as a series of steps to follow to perform calculations, process data or perform other functions, resulting in an output. Google is a great example of the “search” business algorithm. The searcher enters a search (or says it out loud), and Google delivers the relevant results to the searcher using the complex algorithm.
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.
It is difficult to make a clear definition of data quality. The truth is that your data quality is good if the data achieves its purpose of using it. For example, showing the right values on a management board to guide the organization ensures that management is also consistent and the process is managed correctly.
Data Latency is the ability to load and update data in near-real time, while supporting query workloads at the same time.
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