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In a machine learning problem, if you have a high-dimensional dataset, how would you go about handling it?

As an expert on linear regression, can you explain the fundamental assumptions of this modeling technique and why they are necessary for an accurate interpretation of results?

What methodologies do you suggest for assessing the accuracy of a clustering algorithm when the labels are known in advance?

Design a system to detect and prevent fraud in transactions.

What is your understanding of the architecture and operation of Neural Networks?

Design a system for managing distributed job queues.

Can you outline the benefits and limitations of SVMs?

Design a system for instant weather data processing and analysis.

Do you believe Rectified Linear Unit is the best activation function to use in deep learning models?

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?