What's the benefit of using numpy?
Applied Scientist Interview Questions
1,160 applied scientist interview questions shared by candidates
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
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