Code for video analytics. .
Learning Engineer Interview Questions
6,594 learning engineer interview questions shared by candidates
- One 75min technical screening asking simple ML theory questions and a medium algorithmic coding question. Virtual onsite - 2 interviews covering all previous jobs and asking quick questions about projects/managers/yourself - ML System Design interview - ML theory interview - Big Data Computation interview After the onsite, they asked for 4 references from previous managers and peers.
How do you use PCA to segment an foreground from the background?
3 questions were extremely subjective.. It was very frustrating. The rest of the questions are farely okay/easy. Some MCQ questions were 1. What would be the accuracy of a Logistic Regression model trying to seperate a circle. 2. Which of the specific points are unlikely to come from a specific normal distribution, given its mean and covariance matrix 3. Subjective question on Heteroskedasticity 4. Subjective question on A/B testing (Would the number of false positives increase or decrease) 5. Mean of Pareto Distribution in Central Limit Theorem 6. Find P(3X + 4Y) > 5 given mean and variance of X and Y that are IIDs
Leetcode question medium difficulty and some follow ups.
LC medium question (C++) on google doc
Coding rounds were similar to general software engineering questions based on trees. ML was like ML design rounds.
recommendation systems, basic machine learning questions
Why are your expectations from the company?
to build a machine learning model on linear regression
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