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Understanding Hidden Markov Models by Shakeel Hashmi is a document available to read on EtoBox.
What is Understanding Hidden Markov Models about?
Hidden Markov Models (HMMs) are probabilistic models used in machine learning for tasks like speech recognition and natural language processing, effectively capturing data structure even in noisy conditions. HMMs consist of hidden states and observations, with transition and emission probabilities defining their relationships. They are applied in various fields including bioinformatics and finance for sequence analysis and market trend prediction.
- Author
- Shakeel Hashmi
- Language
- EN