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• Learning Rate: In machine learning, the learning rate is a hyperparameter that determines the step size at each iteration while moving toward a minimum of a loss function during training of a model. It controls how much to change the model in response to ... Read More >>
• Gradient Boosting: Gradient Boosting is a machine learning technique that builds an ensemble of weak prediction models, such as decision trees, to create a strong predictive model. It is an iterative process that starts with a simple model and sequentially im ... Read More >>
• Public Key: In data science and cryptography, a public key is a cryptographic key that can be freely distributed to anyone and is used to encrypt messages intended to be sent to the owner of the corresponding private key. The public key is derived from ... Read More >>