How are the k-nearest neigh-bors (knn) algorithms different from k-means clustering?

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What’s your favorite algorithm, & can you explain it into me in less than a minute?

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Given a sorted array of n integers that has been rotated i(unknown) number of times, give a (log n) algorithm that finds an element in the array.

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What is local search algorithms?

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Which algorithm in ‘unification and lifting’ takes two sentences and returns a unifier?

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Given a series of positive integers. Design an efficient algorithm that can detect pairs whose sum is equal to K such that K = ei + ej, and (i not equal to j).

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When an algorithm is considered completed?

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What was deep learning, & how does it contrast with other machine learning algorithms?

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Draw a flowchart to find the average of four number?

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Consider the following algorithm, where the array A is indexed 1 through n: int add_them ( int n , int A[ ] ) { index i , j , k ; j = 0 ; for ( i = 1 ; i <= n ; i++) j = j + A[i] ; k = 1 ; for ( i = 1 ; i <= n ; i++) k = k + k ; return j + k ; } (a) If n = 5 and the array A contains 2, 5, 3, 7, and 8, what is returned? (b) What is the time complexity T(n) of the algorithm?

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What is meant by a * search algorithm?

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Give an algorithm for the following problem. Given a list of n distinct positive integers, partition the list into two sublists, each of size n/2, such that the difference between the sums of the integers in the two sublists is minimized. You may assume that n is a multiple of 2.

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