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Define an algorithm to discover when a person is starting to search for new job.
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 the variance?
Give a popular application of machine learning that you see on day to day basis?
What is false positive and false negative in terms of machine learning?
Which os is good for machine learning?
What is morpheme natural language processing terminology?
What is the difference between classical ai and statistical ai?
What are the basic requirements for machine learning?
Explain gradient descent?
Which is the similar operation performed by the drop-out in neural network?
Explain the difference between type ii with examples.
Which search uses only the linear space for searching? a) Best-first search b) Recursive best-first search c) Depth-first search d) None of the mentioned
What are spring annotations?
You are given two tables- friend_request and request_accepted. Friend_request contains requester_id, time and sent_to_id and request_accepted table contains time, acceptor_id and requestor_id. How will you determine the overall acceptance rate of requests?
