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Could you explain your methodology for selecting the most effective algorithm for a specific machine learning problem?

What's your approach to writing a function that identifies the longest path in a Directed Acyclic Graph?

What were some of your key takeaways from a craft conference you attended recently?

What are some common methods for detecting and dealing with multicollinearity?

What are the skills that make you a good candidate?

Describe how you see your career development over the next five years and how Boeing fits into that?

What is normal and poisson distribution? What is the difference between them?

What is the big-O notation for the time complexity of an SVM training process? What governs the time complexity when an SVM model is deployed for making predictions? How does the computational demand vary for SVMs with Linear versus RBF kernels during training and inference?

Why is it considered essential to account for error assumptions in linear regression, and what does it imply?

Describe an experience you have when you have led a team.