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Divide and Conquer, Sorting and Searching, and Randomized Algorithms - 中间的 Data Science Course

描述

The primary topics in this part of the specialization are: asymptotic ("Big-oh") notation, sorting and searching, divide and conquer (master method, integer and matrix multiplication, closest pair), and randomized algorithms (QuickSort, contraction algorithm for min cuts).阅读更多.

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The techniques and tools covered in Divide and Conquer, Sorting and Searching, and Randomized Algorithms are most similar to the requirements found in 数据科学家 data science job advertisements.

相似度得分(满分 100)