Algorithmic Improvements

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• Subatomic Particles: Subatomic particles are particles that are smaller than atoms. In the context of data science and artificial intelligence, subatomic particles are used in quantum computing. Quantum computing is a type of computing that uses quantum bits (q ... Read More >>
• Softmax Function: In the context of Data Science and Artificial Intelligence, the Softmax Function is a type of squashing function that is used in various multiclass classification methods. It is an activation function that turns numbers, also known as logit ... Read More >>
• Agglomerative: Agglomerative is a hierarchical clustering algorithm in data science that starts with each data point as a separate cluster and then merges the closest pairs of clusters until a stopping criterion is met. The stopping criterion can be a fix ... Read More >>