Answer Posted / Girvinder Kour

A Sequence Model in Machine Learning is a type of model used for analyzing sequential data, where the order of observations matters. Examples include recurrent neural networks (RNN), long short-term memory (LSTM) networks, and hidden Markov models (HMM).

What are standardization and normalisation? Give one advantage of each over the other?

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Do you have research experience in machine learning?

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