The technical questions were just hackerrank Python DS&A questions.
Ml Engineer Interview Questions
2,734 ml engineer interview questions shared by candidates
How would you compensate for a dataset with unbalanced classes.
What is Machine Learning and explain the development cycle
1. Highly Profitable Months The stocks of a company are being surveyed to analyze the net profit of the company over a period. For an analysis parameter � k, an interval of � k consecutive months is said to be highly profitable if the values of the stock prices are strictly increasing for those months. Given the stock prices of the company for � n months and the analysis parameter � k, find the number of highly profitable intervals. Example stockPrices = [5, 3, 5, 7, 8] � = 3 k=3 These are the intervals of � k months in which the stock prices are strictly increasing: [Visual representation of the intervals in a bar graph] Hence the answer is 2. Note: If the interval length is 1, each subarray of length 1 is highly profitable The problem statement in the image is as follows: 2. Rearranging a Word Given word, return the next alphabetically greater string in all permutations of that word. If there is no greater permutation, return the string 'no answer' instead. Example word = 'baca' The string 'baca' has the following permutations in alphabetical order: 'aabc', 'aacb', 'abac', 'abca', 'acab', 'acba', 'baac', 'baca', 'bcaa', 'caab', 'caba', and 'cbaa'. The next alphabetically greater permutation of the original string is 'bcaa'. Function Description Complete the function rearrangeWord in the editor, rearrangeWord has the following parameter(s): string word: the string to analyze Returns string: Return the next alphabetically greater permutation of the string. If no such string exists, return the string 'no answer'.
In Data structure round question was about e commerce site web crawling ,interviewer wanted to understand implementation of Tree Traversal algorithm.
Some generic questions about Deep Learning, NLP (BERT, Transformer-XL, etc.), Batch/Weight/Layer Normalization, GANs, Adam, etc.
Difference between different types of tree based algorithms, and explain pros and cons.
Explain linear regression, models that you have used
Mostly related to AI and ML topics then later something more about neural networks and then experience in working along with AI/ML pipeline and transformers .
Python basics,work experience related questions
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