- Role fitment round with HM: Questions were about past projects and discussion on ML problem. - Coding round: NLP problem, asked to write training code from raw data stage. Expectation is decreasing loss during training at the end of the round. -ML system design - NLP and speech related recommendation problem.
CLT, NLP preprocessing, Mug up the libraries python names and you make it!
Design a News Recommender System with labeled and non-labeled data. Would you use a LLM to build such system?
Difference between different types of tree based algorithms, and explain pros and cons.
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'.
Some generic questions about Deep Learning, NLP (BERT, Transformer-XL, etc.), Batch/Weight/Layer Normalization, GANs, Adam, etc.
Explain linear regression, models that you have used
The technical questions were just hackerrank Python DS&A questions.
How would you compensate for a dataset with unbalanced classes.
What is Machine Learning and explain the development cycle
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