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Machine Learning Interviews
Machine Learning Interview Questions
"To get a job in machine learning, you must have the programming and mathematical knowledge to create artificial intelligence that is capable of learning new tasks without being explicitly coded. In an interview you may be asked about your experience with pertinent coding languages such as Java and C++ as well as with writing algorithms. The interview will be comprised mainly of technical questions that test your knowledge of the fundamental concepts of machine learning such as data mining and signal processing."
8,208 machine learning interview questions shared by candidates
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
Leetcode medium, given a list of prerequisites return the order these should be executed.
Software engineer questions, data structure in particular
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