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Can you detail the process by which a bounding box regressor identifies objects?

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?

Can you describe how TikTok's mission aligns with your long-term goals

Could you elaborate on ways to decompose errors into variance and bias?

How do you tune the parameters in DBSCAN to achieve optimal results?

In your opinion, what are the key skills that make you a good candidate?

Can you identify the blanagrams from the words given to you - cinema and iceman?

Could you explain some of the ways dimensionality reduction is carried out in Machine Learning? Does it vary depending on the type of data involved?

How do you perceive the importance of feature selection in the world of machine learning?

Suppose you roll a die and earn whatever face you get. What is the expected return? Now suppose you have a chance to roll a second die. If you roll, you forfeit your earnings from the first round. When should you roll the second time?