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Design a system for handling payments in an e-commerce platform.

How would you compare and contrast supervised, unsupervised, and reinforcement learning techniques?

In the field of machine learning, what do we mean by overfitting and underfitting? Why is it necessary to keep these phenomena in mind during model development?

Can you elaborate on how gradient boost is used in machine learning and how it works?

Can you walk me through the sequence of steps you take when performing ETL?

Find the maximum sum path that goes through the root of a tree and return its sum.

Imagine you're building a metric to compare two user's Netflix recommended lists of movie/tv show preferences. What factors would you prioritize in the development process?

What is your experience with using Rectified Linear Unit as an activation function and its impact on model accuracy?

How would you describe the time complexity characteristic of SVM training? Can you describe the time complexity for the inference phase in SVMs? Can you compare the time complexities for training and inference in SVMs with linear and RBF kernels?

The practice of cross-validation can help to determine the efficiency of a machine learning model. Are you familiar with this approach?