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Tackling a high-dimensional dataset can be challenging in machine learning. How would you approach the problem?

Can you outline the benefits and limitations of SVMs?

Could you explain the unique roles of a confusion matrix and an ROC curve in a model's performance evaluation?

Write a function to find the maximum sum path that goes through the root of a tree and return its sum.

Could you demonstrate how to code a hash table in Python?

How can you use recursion to retrieve the nth number in the Fibonacci sequence?

Build a real-time system to detect anomalies in operational metrics.

Precision and recall are two common metrics used to evaluate the performance of classification models. Can you explain what they measure and how they are calculated? Also, discuss some situations where these metrics may not be suitable for assessing model accuracy.

Could you enumerate different loss functions that you know and their use cases?

How does the R-square measure fall short in providing a complete picture of linear regression model performance? What does it imply about the linear regression model when you encounter a low R-square?