Years of experience, previous work place
Member Technical Staff Interview Questions
10,775 member technical staff interview questions shared by candidates
Given 2 unsorted integer arrays, get the intersection of the 2.
Random question such as: 1-have you worked in kitchen? 2-are you brave enough to deal with issues or bad customers?
writing assements
Design real time tail log search
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Iterative method to find the height of a tree
How do you reverse print a string. After answering the same by providing an out of the box API, the next unexpected question was "What if it does NOT exist". While and 2nd alternative was provided, it was pretty much shot down as being not acceptable.
Gaussian linear models are often insufficient in practical applications, where noise can be heavy- tailed. In this problem, we consider a linear model of the form yi = a · xi + b + ei. The (ei) are independent noise from a distribution that depends on x as well as on global parameters; however, the noise distribution has conditional mean zero given x. The goal is to derive a good estimator for the parameters a and b based on a sample of observed (x, y) pairs. 1.1 Instructions: 1. Load the data, which is provided as (x, y) pairs in CSV format. Each file contains a data set generated with different values of a and b. The noise distribution, conditional on x, is the same for all data sets. 2. Formulate a model for the data-generating process. 3. Based on your model, formulate a loss function for all parameters: a, b, and any additional parameters needed for your model. 4. Solve a suitable optimization problem, corresponding to your chosen loss function, to obtain point estimates for the model parameters. 5. Formulate and carry out an assessment of the quality of your parameter estimates. 6. Try additional models if necessary, repeating steps 2 − 5.
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