Can you list some use cases where classification machine learning algorithms can be used?
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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.
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.
What is the uniform cost search algorithm?
A lot of questions were asked on sorting for eg. Best algorithm on the basis of number of swaps, number of comparisons etc.
Which algorithm inverts a complete resolution strategy?
What is the most efficient way to store 1 million phone numbers memory-wise?
What was deep learning, & how does it contrast with other machine learning algorithms?
What do you mean by overfitting and underfitting algorithms?
Explain me what's your favorite algorithm, and can you explain it to me in less than a minute?
What is simulated annealing algorithm?
What are the complexities of sorting algorithms and how can this complexity be calculated?
What is the breadth-first search algorithm?
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