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Some examples of efficient algorithms used in data processing and analysis include sorting algorithms like quicksort and mergesort, searching algorithms like binary search, and machine learning algorithms like k-means clustering and decision trees. These algorithms help process and analyze large amounts of data quickly and accurately.

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Some examples of pseudocode for sorting algorithms include Bubble Sort, Selection Sort, and Merge Sort. These algorithms differ in terms of efficiency and implementation. Bubble Sort is simple but less efficient for large datasets. Selection Sort is also simple but more efficient than Bubble Sort. Merge Sort is more complex but highly efficient for large datasets due to its divide-and-conquer approach.


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