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• Prior Probability: Prior probability is the probability of an event occurring before taking into account new evidence. In data science, prior probability is used in Bayesian statistics to calculate the probability of a hypothesis being true before any data is ... Read More >>
• Statistical Information: Statistical information refers to the data that has been collected, analyzed, and interpreted using statistical methods. It is used to describe and summarize a particular phenomenon or population, and to make inferences and predictions abou ... Read More >>
• Gradient-based Methods: Gradient-based methods are optimization algorithms used in machine learning and data science to find the minimum of a cost function by iteratively adjusting the parameters of a model. These methods use the gradient of the cost function with ... Read More >>