Behavioural - Talk about projects, difficult situation, how to handle failure , awareness of Yelp's products, explain difficult concept to stakeholders etc. Technical - Live coding of a bigrams related problem in python, A/B experiments, deep dive into how to design them for their bidding systems etc.
1: How do you model prices of homes and given an option on it 2: How do you calculate VaR if returns are auto correlated
One BFS coding problem, one pandas problem Knowledge about NLP, transformers, LLMs Design a recommender system
What is the difference between R^2 adjusted and not adjusted?
Asked me technical details about my projects and general questions of Machine/Deep Learning fundamentals.
What are regularization techniques? which one is good for feature selection?
What is the difference between R_squared and adjusted R_squared?
Did you have any experience with deployment or operationalization of models? What are the things you look into before deploying the model?
Case Study for multi label classification problem
what are transformers? What are vision transformers? what is the time complexity of the attention matrix? what is the advantage of vision transformers over CNNs? what is a ResNet? what is data augmentation? what are the preprocessing techniques? How does YOLO work and whats's the cost function
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