How CNN works How Tesseract extracts text etc..
Senior Machine Learning Engineer Interview Questions
615 senior machine learning engineer interview questions shared by candidates
Do you have consulting experience? If yes, tell more about it.
Basic Pandas transformations in a live coding exercise, although some of the questions seemed to be hastily put together .
Flatten a nested file structure. Hashing based LC question. What's overfitting, what does the VAE minimize, how to compute model uncertainty.
Data Science Pipeline for Boston Data
What is the difference between an iterator and a generator What is the difference between a list and a set. What is the time complexity to search an item in each? What is the difference between multi-threading and multi-processing? when do you use each? What is the difference between is and == operator? What is the difference between Where clause and have clause in SQL? What is a loss function? What is logistic regression? Can you write down the logit function? What loss functions we use for regression? What is the difference between decision trees, random forest, and gradient boosting? What is the difference between L1 and L2 regularisation? Why we need to standardise features? How to explain models? Have you used the shap method before to explain a model? How do we know features importance in linear regression? what might affect this? What is negative sampling?
What is a time you had a conflict in your workplace that you had to resolve
NLP side of things CNN/LSTM/Attention mechanism. Recommendation systems - collaborative filtering Active learning, Model building and deployment Team handling
Tell me about a recent research paper you read. What were the highlights. whats good, whats bad. What are the practical limitations of this paper when applied to the real world cases
NDA - ML system design interviews, Resume deep dives, ML coding, ...
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