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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?

Design a secure transaction system for online shopping.

Can you walk me through your thought process for selecting the right algorithm for a machine learning task?

How does the BERT model differ from the BiLSTM, and why is it considered superior?

Please provide a Python snippet that results in a functioning hash table.

How do you deal with binary classification datasets that are unevenly distributed, where one class dominates the other in terms of instance count?

What are the distinguishing features of the K-means and the Expectation-Maximization (EM) algorithm?

Can you discuss some strategies for mitigating covariate imbalance in machine learning datasets, and how they benefit model efficacy?

What are some of the prerequisites for clean data when it comes to machine learning, and how do you ensure they are all met?

Tell me about the concept of cross-validation and its significance in machine learning?