First two sessions requested to resolve LeetCode style problem solving and I felt it's about medium difficulties. Other sessions were related to ML related topics such as attention mechanism, inference efficiency
Machine Learning Intern Interview Questions
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Experience related data science questions
What kind of work culture would you prefer?
How did you evaluate the model?
Implement a map, include put, get, delete methods
Find first non-repeated item from a data stream
1. Computer Science questions - sorting, searching, data structure, binary tree. Actual code writing and walkthrough. How to optimize. Big O notations. Efficiency is always a key component here. 2. Machine learning and deep learning questions. Everything from supervised to unsupervised learning. What are the linear classifiers? Explain how CNN works, random forest, recurrent neural network. Clustering. Nearest neighbors. I think we gone through all the topics in machine learning. 3. System design. How to search efficiently. Explain previous experience or projects implemented etc.
Gave a typical case of fraud detection and asked how to tackle this problem. Another use case for loan default cases.
Q1: Salary expectation Q2: Solve a scala and python problem.
Design a Machine leraning system to optimize food requests from a famous resturant and food delivery through calls
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