What are the disadvantages of breadth-first search algorithm?
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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.
How are the k-nearest neigh-bors (knn) algorithms different from k-means clustering?
Which search algorithm will use a limited amount of memory in online search?
What is the breadth-first search algorithm?
Consider the following algorithm: for ( i = 2 ; i <= n ; i++) { for ( j = 0 ; j <= n) { cout << i << j ; j = j + floor(n/4) ; } } (a) What is the output when n = 4 (b) What is the time complexity T(n). You may assume that n is divisible 4.
What is Back propagation in Neural Networks?
What do you mean by overfitting and underfitting algorithms?
How does deep learning contrast with other machine learning algorithms?
What’s your favorite algorithm, & can you explain it into me in less than a minute?
Which algorithm inverts a complete resolution strategy?
Tell us why is naïve bayes machine learning algorithm naïve?
Explain me what's your favorite algorithm, and can you explain it to me in less than a minute?
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