Difference between Layer and Batch normalization? Template matching, k-means, k-nn, naive bayesian classifier, SVM? Difference between RCNN, its variants and YOLO? Transformers and LSTMs? Why skip connections? Vanishing gradient problem? Random forest?
What can you say about constructors?
What is the O runtime?
What is cache coherency? What is pipelining?
Almost 35 questions with a long long explanation, aim to find out how to have higher profit, how to have more customer, English level and etc.
Have I worked in corporate environment?
Can you explain how you would approach denoising an image using machine learning techniques?
Write an algorithm to clean up noisy signal data.
Questions were like what was the hardest project you worked on? Last team project? Strengths and weaknesses? Whatd you do in those projects.
Basic Personal Questions
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