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What performance indicators do you consider essential for computer vision models?

What are the various ways of sampling data?

Can you propose a structure for a model that excels in object detection within visual frames?

Which optimization strategies are within your realm of expertise? What are the best practices for handling optimization problems with a vast number of variables? What does the simplex method entail when addressing optimization challenges?

Walk me through the process of differentiating between high variance and high bias in a machine learning model.

How does the BERT model differ from the BiLSTM, and why is it considered superior?

If you were tasked with building a system for monitoring server data and alerting users of any anomalies, what steps would you take to accomplish this?

Could you discuss the obstacles in training deep neural networks that have many layers?

How would you reconstruct a binary tree from its preorder and inorder traversal sequences?

What's the best way to write a function that lists out all the prime numbers below N?