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Machine Learning Interviews
Machine Learning Interview Questions
"To get a job in machine learning, you must have the programming and mathematical knowledge to create artificial intelligence that is capable of learning new tasks without being explicitly coded. In an interview you may be asked about your experience with pertinent coding languages such as Java and C++ as well as with writing algorithms. The interview will be comprised mainly of technical questions that test your knowledge of the fundamental concepts of machine learning such as data mining and signal processing."
8,197 machine learning interview questions shared by candidates
(onsite interview roun 5): Edit distance There is a big file, it contain lots of words. given the first word and second word, check wether the words are in the path of edit distance e.g. File input: 'aaaa' 'aaab' 'abab' 'acdb' 'almn' 'abbb' Word1: 'aaaa' Word2: 'abbb' Output: True Explaination: Yes. There is an edit distance path from 'aaaa' to 'abbb' 'aaaa' -> 'aaab' -> 'abab' -> 'abbb'
Given a SQL database with an Integer field, retrieve the sum of said field for all records.
Was asked to implement a K-means clustering algorithm, with the major skeleton of the code provided.
Have you worked on GANs? Describe how they can be utilized to augment a dataset of documents?
'''Question 1: Given a sorted but rotated array, and a target, find the location of the target in the array. If the target is not in the array, returns -1 1) INPUT: [3,6,7,1,2], target = 1 OUTPUT: 3 2) INPUT: [3,6,7,1,2], target = 9 OUTPUT: -1 '''
They will ask standard interview questions
How to detect a working plant based on image of smoke from it and some weather dataset.
What is aws-lstm? Do you hear about that?
How can you convert a trained neural network from keras to pytorch?
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