DSA-An easy leetcode problem based on greedy algorithm.Usage of priority queue was there.sECOND QUESTION WAS OF MULTI SOURCE BFS.In the second round, they asked mainly on my projects and basic of ml like bias , variance trade off,random forest,some CNN architectures like ResNet, VGG etc.
1. Previous Work Experience 2. What is ResNet and how does it work 3. How to split node in Decision tree 4. What happens during runtime with dropout regularization 5. Full detailed mathematical formula for Wasserstein Distance!!!! - Very difficult to know/remember. Interviewer does not accept intuitive
Tell me about yourself, please
Propose ML methods for two real-world use cases presented by the interviewer, it also involved a live-coding challenge and additional ML-related theoretical questions
1) How to approximate pi using Monte Carlo? 2) What is the objective function of a neural network for classification and regression problems? 3) What are the different ML problems?
Describe your favorite project and then questions related to that project.
LC easy-medium + ml basics
1. What projects are you working on? 2. Explain one of your ongoing projects and your contribution to it. 3. How many lines of code have you written in various programming languages like C++, Python, etc.
An annoying leetcode medium problem on a laptop
Describe your research experiences; Describe your career plan
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