Optimization Algorithms

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• Lasso Regression: Lasso Regression is a linear regression technique that performs both variable selection and regularization to improve the prediction accuracy and interpretability of the model. It adds a penalty term to the cost function of the linear regre ... Read More >>
• Probabilistic Matching: Probabilistic matching is a technique used in data science to identify and match records that refer to the same entity across different data sources. It is a process of comparing two or more records that may or may not match exactly, and as ... Read More >>
• Buffers: In data science, a buffer is a temporary storage area in memory that holds data while it is being transferred from one location to another. Buffers are commonly used in data processing to temporarily hold data that is being read from or wri ... Read More >>