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Create a system for processing live customer feedback in real-time.

Can you detail the advantages and potential pitfalls of applying SVM in various data scenarios?

What is your technique for identifying any overlapping ancestors between two people when examining separate genealogy charts?

How does SVM differ from Random Forest?

Can you describe how a bounding box regressor functions within object detection models?

Can you provide some insight into XGBoosting and how it can be applied?

If given a binary and continuous variable, what's your method to find the correlation between the two?

Can you outline what sets DMatrix apart in XGBoost compared to other data structures in similar boosting techniques?

Can you discuss the meaning of training and loss graphs in relation to neural networks? How do different loss functions alter the shape of the loss graph, and what are some commonly employed ones? How do the training and loss graphs differ, and how do they aid in optimizing and maximizing model performance?

What algorithm finds the longest substring with distinct characters in a string?