Hands-on markov models with Python implement probabilistic models for learning complex data sequences using the Python ecosystem

Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearnKey FeaturesBuild a variety of Hidden Markov Models (HMM)Create and apply models to any sequence of data to analyze, predict, and extract valuable insightsUse natural language processing (...

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Detalles Bibliográficos
Otros Autores: Ankan, Ankur, author (author), Panda, Abinash, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham ; Mumbai : Packt [2018]
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009634728206719
Tabla de Contenidos:
  • Hands-On Markov Models with Python: Implement probabilistic models for learning complex data sequences using the Python ecosystem