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• Measurable Values: Measurable values refer to the quantitative data that can be measured and analyzed in data science. These values are typically numerical and can be collected through various methods such as surveys, experiments, or sensors. Measurable value ... Read More >>
• Activation Functions: Activation functions are mathematical functions that are used in artificial neural networks to introduce non-linearity to the output of a neuron. They are applied to the weighted sum of inputs and biases of a neuron to produce its output. T ... Read More >>
• Overfitting: Overfitting is a common problem in machine learning where a model is trained too well on the training data and starts to memorize it instead of learning the underlying patterns. This results in a model that performs well on the training dat ... Read More >>