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• Pruning: Pruning is a technique used in machine learning and artificial neural networks to reduce the size of the model by removing unnecessary or redundant features. It involves removing the weights and connections between neurons that have little ... Read More >>
• Stopwords: In natural language processing, stopwords are words that are commonly used in a language but do not carry any significant meaning and are usually removed from text data to improve the performance of machine learning models. Examples of stop ... Read More >>
• Model Complexity: Model complexity refers to the level of sophistication of a statistical or machine learning model in capturing the underlying patterns in the data. A model with high complexity can capture intricate relationships between the input features ... Read More >>