Binary Search
Binary search is a search algorithm that finds the position of a target value within a sorted array. It works by repeatedly dividing in half the portion of the array that could contain the target value, until the target value is found or the search ends. This algorithm is very efficient for large arrays, as it has a time complexity of O(log n), where n is the size of the array. However, the array must be sorted beforehand, which can be a time-consuming process. Binary search is commonly used in data science and artificial intelligence for tasks such as searching through large datasets or optimizing hyperparameters in machine learning models.
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