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• Optimizing: Optimizing refers to the process of finding the best solution or achieving the best outcome for a given problem or task. In data science and artificial intelligence, optimizing often involves finding the optimal values for a set of paramete ... Read More >>
• K-fold Cross-validation: K-fold cross-validation is a technique used in machine learning to evaluate the performance of a model. It involves dividing the dataset into k equal parts or folds. The model is trained on k-1 folds and tested on the remaining fold. This p ... Read More >>
• GAN: GAN stands for Generative Adversarial Network, which is a type of neural network architecture used in unsupervised machine learning. GANs consist of two neural networks, a generator and a discriminator, that are trained together in a game-l ... Read More >>