How to design and implement object tracking system
Machine Learning Researcher Intern Interview Questions
1,879 machine learning researcher intern interview questions shared by candidates
Implement k-means, some logistic regression optimisation, some leetcode medium-hard questions.
BFS and DFS related hard question
"What is a convolutional neural network?" (to a senior machine learning practitioner)
Started with an easy probability puzzle (ants in a triangle) Computer Vision - 1. Design a basic edge detection filter 2. Explain the whole SIFT pipeline. 3. How is SIFT made rotation invariant 4. Is HOG rotationally invariant Machine Learning - 1. Random Forest 2. XGBoost 3. ANNs 4. CNNs Focus is on fundamentals.
Explain what is ROC and how it is applied in classification tasks?
tell me a little bit about yourself, what you're doing and what you want to do can you tell me like have you been doing any nlps or related stuff?
What are different model optimization techniques?
Simulate dice throws to prove expected value
The interview was two parts, refactor some code, and go through your resume (also maybe code on your github, if you gave them your link).
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