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Machine Design Interview Questions
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1. They give one image classification problem on classifying pictures of dogs and cats
( Onsite interview Round 2 ): White board 3sum problem, Given an array, find wether it has any subarray of size 3 with the sum equal to target value e.g. arr = [1,2,3,4,5] target = 6 Output: [1,2,3]
( Onsite interview Round 1 ): Programming: Given an array, find wether it has any contiguous subarray with the sum equal to target value e.g. intput: arr = [1,2,3,4,5] target = 7 output: [3,4]
(Coderpad Round 3 - Technical) Given a dictionary with keys and values and given an input, find closest key to the given input e.g. dictionary = { 'a' : ['b','c','e'], 'm': ['c','e'] } Input: ['c'] Output: 'm' Explaination: 'c' is at distance 1 from 'a' and 0 from 'm'. Hence closest key for 'c' is 'm'.
(Coderpad Round 3 - Technical) Given a dictionary with keys and values and given an input, find closest key to the given input e.g. dictionary = { 'a' : ['b','c','e'], 'm': ['c','e'] } Input: ['c'] Output: 'm' Explaination: 'c' is at distance 1 from 'a' and 0 from 'm'. Hence closest key for 'c' is 'm'.
How would you speed up the training of a pre-trained BERT from a public dataset to a private dataset?
Have I ever worked for Remington before?
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