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• Hidden Markov Models: Hidden Markov Models (HMMs) are statistical models that are used to model time series data, where the underlying process is assumed to be a Markov process with hidden states. HMMs are widely used in speech recognition, natural language proc ... Read More >>
• Demand Forecasting: Demand forecasting is a process of predicting the future demand for a product or service using historical data and statistical models. It involves analyzing past sales data, market trends, economic indicators, and other factors that may aff ... Read More >>
• False Positives: In Data Science, False Positives refer to the instances where a model predicts a positive outcome when the actual outcome is negative. This means that the model has identified an event or condition that is not present in reality. False posi ... Read More >>