Hidden Markov Models

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• Radar Systems: Radar systems are electronic systems that use radio waves to detect, locate, and track objects such as aircraft, ships, and vehicles. In data science and artificial intelligence, radar systems are used to collect and analyze large amounts o ... Read More >>
• Pooling: Pooling is a technique used in deep learning to reduce the spatial dimensions of feature maps. It involves dividing the input image into non-overlapping regions and then computing the maximum, minimum, or average value of each region. This ... Read More >>
• Variable Selection: Variable selection is the process of selecting a subset of relevant features (variables) for use in model construction. In data science and machine learning, variable selection is important because it helps to reduce the complexity of the m ... Read More >>