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Can you describe a time when you took a risk?

What's the probability that you'll get heads twice in consecutive coin tosses?

Given a list of (date, duration) tuples, what is your process for filtering by time period and then calculating summary statistics such as the average duration and rolling sum?

Which loss functions are you experienced with within the context of machine learning models?

Could you create a dataset of 1000 points following a normal distribution with specified mean and variance, analyze it with summary statistics, and illustrate the distribution with a density plot?

Could you outline an algorithm for detecting the longest strictly increasing subarray via dynamic programming?

Please describe the steps you would take to generate an ROC curve using predicted probabilities and true labels.

How to generate a normal distribution of 1000 data points with a set mean and variance in R, complete a statistical summary with explanation, and create a density plot, and then perform these steps in Python using the Codility editor?

What's your interpretation of MapReduce and how does it execute its tasks?

What algorithm could you write to evaluate the length of a sorted list, where -1 denotes an out-of-range value, and without using built-in operations?