Machine learning engineer Interview Questions | Glassdoor.ca

Machine learning engineer Interview Questions

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What you did professionally that is related to machine learning/data science position?

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Projects on time series, NLP and Ml projects like decision trees, naive Bayes

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Find the median of an array in linear time

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Random Walk Distances On Graphs Given a graph and any pair of vertices i and j, it is possible to take a random walk starting from i and eventually arrive at j, if i is connected to j. Specifically, starting at i, each time we choose an edge to traverse randomly according to some probability distribution P, and repeat until we arrive at j for the first time. The number of edges traversed is a random variable with some expected value, which is the expected random walk distance from i to j. By this definition, the expected random walk distance from a vertex to itself is always 0. Furthermore, multiple traversals of an edge are also counted in the random walk distance. Your task is to write a program to estimate the expected random walk distance between all pairs of vertices in a given graph.

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Q: Do I have an experience working with the ULMFiT? What were the details of the implementation?

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how to efficiently count the number of 1 bits in a 32 bit number

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What is regularization used for?

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What does regularization mean?

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What is the project you have worked on in the past? What is the project you have worked on in the past? What is the project you have worked on in the past? What is the project you have worked on in the past?

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Is overfitting a problem of variance or bias?

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some machine learning technical questions and also behavior questions

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