Review literature on learning2rank with tf ranking. Implement algorithm to rank websites for different query ids using Microsoft web10K dataset. Follow up writing questions to answer
Machine Learning Engineer Interview Questions
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Data Structures and Algorithms- Linked List, Matrix manipulation, dynamic programming, etc. (Easy/Medium from Leetcode/Hackerrank). Machine Learning- Supervised, unsupervised algorithms, model comparison, etc.
Build a recommendation based engine
it was about combining sorted lists
The first one is related to merge sort, and second one a DP question
I was asked a variety of questions about my experience with machine learning, including my knowledge of different algorithms and frameworks, my experience with data processing and analysis, and my ability to design and implement machine learning models. I was also asked about my soft skills, such as my ability to communicate effectively with both technical and non-technical audiences, and my ability to work independently and as part of a team.
Describe an end-to-end machine learning pipeline.
Designing next post logic for fb news feed w/ some arbitrary constraints and optimization goals the interviewer added - effectively a variation of recommender
BST question involving traversal and pruning.
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