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• Embedding Layer: In deep learning, an embedding layer is a neural network layer that maps categorical variables, such as words or IDs, to continuous vectors of fixed size. The goal of the embedding layer is to learn a representation of the input data that c ... Read More >>
• Asymmetric Algorithms: Asymmetric algorithms, also known as public-key cryptography, are a type of encryption that uses two different keys for encryption and decryption. One key is public and can be shared with anyone, while the other key is private and must be k ... Read More >>
• Community Detection: Community detection is the process of identifying groups of nodes (or communities) within a network that are more densely connected to each other than to the rest of the network. In data science, community detection is used to analyze compl ... Read More >>