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What is your understanding of a perceptron model?

How does a bounding box regressor operate in the context of detecting objects?

How do toBe() and not.toBe() function in JavaScript testing frameworks like Jest?

How would you go about introducing Merck to someone who has no prior knowledge of it?

Could you detail the functionality and workflow of MapReduce?

What are the optimization strategies you're versed in, and can you summarize their operation?

Build a system for analyzing sentiment in social media posts in real-time.

Imagine a customer contacts you with a technical issue that you’re unfamiliar with. How would you go about solving it?

What is the impact of stop-word removal on tf-idf analysis?

How would you create a set of 1000 data points following a normal distribution with given mean and variance in R, analyze the descriptive statistics, and visualize with a density plot? Then, could you perform the same operations in Python on Codility's code editor?