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How is data transformed through Principal Component Analysis?

What can you tell me about the efficiency of SVM training in terms of time complexity? Could you explain the time efficiency of inference with a trained SVM model? Could you describe how kernel selection (Linear vs RBF) affects the time complexity of SVMs?

Can you discuss your real-world experience with NLP and its use in recommender systems?

Between ReLU and sigmoid functions, which one mitigates the vanishing gradient issue more efficiently?

What techniques are available to reduce dimensionality in Machine Learning, and how are they used in practice?

How does Rectified Linear Unit compare to other popular activation functions in terms of model performance?

How do information theory principles aid in evaluating different language models? Could you give a practical example of such an evaluation?

Why is outlier detection essential in data science and machine learning?

Can you design a Python class that serves as an iterator over sequences?

Can you show how to construct a function dedicated to reversing strings?