some basics in machine learning
Applied Scientist Interview Questions
1,167 applied scientist interview questions shared by candidates
Many objected-oriented design programming problems. Every round has two coding problems. The content ranges from complex trie structure design with specific functions, weighted graph problems, etc, and some machine learning-related problems. Better know some state-of-the-art techniques.
what is a challenge you met and how you solved it?
1. dive into problem 2. use simple method to solve complex problems
tell me about yourself s
First coding was function to produce weighted probability sampler given a list of weights, second was least common ancestor in binary tree
question after the interview by me. can you tell what kind of projects are you working on. interviewer gave some vauge answer and asked to look at their publications
A system design question asking to design a dashboard to monitor machine learning models.
- How to handle difficult situations - How to handle different opinions between colleagues - How a CNN works - How a RNN works - Did you work with Transformers? What is Attention? - Summary metrics for NLP - CODING: Two sum but with multiplication actually - How a BiLSTM works - Metrics for regression BONUS INTERVIEW WITH OTHER TEAM (more friendly) -Bagging and boosting -Forecasting example -Computational difference between XGBoost and Random Forest
Explain gradient descent, batch norm, how to accelerate, how to parallel, how to change the batch size when parallel and how to save memory for running.
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