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What are the factors that determine the time complexity of SVM training? How does the time complexity during SVM inference compare to its training time complexity? What are the time complexity implications of using different kernels like Linear and RBF in SVMs?

You are given an array of integers, and you are asked to determine the subarray of length k with the maximum possible sum. How would you approach this task?

Could you explain how to cleanse a dataset of biases?

What would be your ideal team to join in Riot Games

What made you decide to join Riot Games?

What are some common mistakes people make when using DBSCAN?

How do you handle skewed data when evaluating model performance, and what are some common metrics used in such cases?

What would be your approach to handling a high-dimensional dataset in a machine learning problem?

Can you describe how you would estimate the probability of ordering a ride, and what assumptions are necessary for this computation? How would a confidence interval be generated for this probability?

I'm curious about something that your resume does not mention.