coding was processing a dataset and leetcode (heap, diameter of tree) ML Systems design was involving instagram behavioral was 5 situational questions
Ml Engineer Interview Questions
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Leetcode- Number of islands question
Tell me about yourself and why ARM?
you should design a roadtrip with hotels and budgets should be familiar with recursive functions
Find depth of a binary search tree
R2: Q1. Describe in detail a project which you have done. Q2. How Feature Extraction work? Q3. What is CNN and LSTM? Why did you use it? Q4. What is Genetic Algorithm? (I had mentioned it as I worked upon in my Internship, but I had forgotten, so I couldn't reply) Q5. What is KNN and Fuzzy Logic? How and where did you use it in your internship? Q6. What are statistical and predictive modelling? And some other related quesions. (Based on my 3rd year Internship) Q7. What is the probability of having the centre of a circle lie within the triangle formed by taking by any 3 points on the same circle? (Brain Teaser - 1) Q8. Bisect an L - shaped figure with a single line, but you don't know its dimensions. (Brain Teaser - 2)
1. Introduce your self? 2. Explain your Previously completed projects and your role? 3. What is Convolution Layer, activation function and max pooling? 4. Explain some parts of the code in uploaded code in github repo? 5. why don't you use choose other classification model instead of vit model? 6. Are your worked FastAI and Hugging face transformers? 7. Explain SQL Joins?
Very generic questions about Machine Learning. They sent me a case study in which I had to define the entire data strategy for machine learning. All questions could easily be answered by a week of general ML preparation.
Asked for job expertise and experience level of different AI tools.
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