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• Representation: Representation refers to the process of transforming data from one form to another, while preserving its meaning. In data science and artificial intelligence, representation is a crucial step in the modeling process, as it determines how th ... Read More >>
• Autoencoders: Autoencoders are a type of neural network that learns to compress and then reconstruct input data. They consist of an encoder network that maps the input data to a lower-dimensional latent space representation, and a decoder network that ma ... Read More >>
• Pattern Recognition: Pattern recognition is the process of identifying patterns or regularities in data through the use of algorithms and statistical models. It involves the analysis of large datasets to identify underlying patterns and relationships, and the d ... Read More >>