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• Differencing: Differencing is a method used to remove the trend and seasonality from a time series data. It involves computing the difference between consecutive observations in the series. This can be done once or multiple times until the series becomes ... Read More >>
• Sub-Intervals: Sub-Intervals refer to the division of a larger interval into smaller intervals. In data science, sub-intervals are often used in the context of time series analysis, where a time period is divided into smaller time intervals to analyze pat ... Read More >>
• Optimal Policy: Optimal policy refers to the set of actions that an agent should take in order to maximize a given objective function. In the context of data science and artificial intelligence, optimal policy is often used in reinforcement learning, where ... Read More >>