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What do you think are some of the key success indicators for someone working in the Data Scientist role?

What's the objective of employing regularization in machine learning practices?

Are there any particular scenarios where you'd prefer mean to median? If so, could you elaborate on one of these?

Do you know what words are blanagrams from dormitory and dirty room?

Explain a process within your role you learned/developed at your previous job, which you feel will be valuable in your future position at Okta

What are batch normalization and dropout, and why are they important in neural networks?

Can you walk me through the process of conducting an A/B test to compare the effectiveness of two product campaigns, with a goal of detecting a 3% improvement in performance?

What issues might you face when training deep neural networks that have a lot of layers?

Write a program to find the longest increasing subarray in an array using dynamic programming.

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?