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How would you describe the time complexity characteristic of SVM training? Can you describe the time complexity for the inference phase in SVMs? Can you compare the time complexities for training and inference in SVMs with linear and RBF kernels?

What are your thoughts on feature selection and its significance within the realm of machine learning?

How can you simulate 1000 normally distributed data points with mean=x and variance=y in R, summarize the statistics, and create a density plot? Additionally, replicate this task in Python on the Codility editor.

Can you give an overview of Support Vector Machine?

What steps does an ML project generally take from its commencement to its culmination?

How would you detail the workflow from training a machine learning model to its deployment in production?

How can the coefficients in a logistic regression model be interpreted with respect to their influence on the response variable?

What are false positives and false negatives in statistical hypothesis testing, and why do they matter in research?

Can you explain how the DBSCAN algorithm works?

What is the value of the element that is 18th in terms of magnitude in this array?