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Is this Data Scientist role a good fit for your qualifications?

How does a typical Data Science project unfold, from the initial planning to the final delivery?

What's the role of a bounding box regressor in the realm of object detection?

It's a well-known issue that gradient problems can hamper deep learning productivity. How do you usually handle them?

What are the characteristics of normal and Poisson distributions, and how do they differ?

In what ways are linear and logistic regression fundamentally different?

Would you elucidate the meaning of training and loss graphs pertaining to neural networks? How does the choice of loss function impact the shape of the loss graph, and what are some extensively used ones? How do the training and loss graphs differ, and what role do they play in optimizing and maximizing model performance?

What is an ROC curve plot? What's the difference between bagging and boosting?

What is your proposed technique for implementing time series anomaly detection in order to identify unusual activity on a server and notify users in real time?

Return the sum of the maximum sum path that goes through the root of a given tree.