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• Optimization Problems: Optimization problems refer to the process of finding the best solution from all feasible solutions. In data science and artificial intelligence, optimization problems are often encountered when trying to maximize or minimize a certain obje ... Read More >>
• Memory-based Algorithms: Memory-based algorithms are a type of machine learning algorithm that relies on the entire training dataset to make predictions. These algorithms store the training data in memory and use it to calculate the similarity between the new data ... Read More >>
• Evaluation Metrics: Evaluation metrics are quantitative measures used to assess the performance of a machine learning model. These metrics are used to evaluate how well the model is performing in terms of accuracy, precision, recall, F1 score, and other releva ... Read More >>