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Design a system for real-time analytics.

How do SVM and Random Forest contrast each other?

How significant is the assumption of error in linear regression, and why is it important to consider while creating relevant models?

How do you ensure that a machine learning model is properly transitioned from training to production use?

Can you outline the core principles of Naive Bayes and how you establish a classification cut-off?

Can you craft a program that identifies the longest palindromic substring within a given string?

Discuss the difference between precision and recall in terms of their meaning and function in the context of classification models. Also, discuss some scenarios where these metrics may give misleading results or fail to provide useful information.

How can you determine the shortest subarray that meets or exceeds a target sum from a given integer array, using a greedy algorithm?

Can you identify the anagrams among these words? Enlist, Silent, Race, Care.

How would you construct a model to optimize object detection in individual frames?