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• L2 Regularization: L2 regularization is a technique used in machine learning and deep learning to prevent overfitting of the model. It adds a penalty term to the loss function of the model, which is proportional to the square of the magnitude of the weights i ... Read More >>
• Data Transformation: Data transformation is the process of converting data from one format, structure, or type to another to make it more suitable for analysis, visualization, or machine learning. This process involves cleaning, filtering, aggregating, merging, ... Read More >>
• Batch Normalization: Batch Normalization is a technique used in deep learning neural networks to improve the training speed and stability of the model. It works by normalizing the inputs of each layer, which helps to reduce the internal covariate shift problem. ... Read More >>