Hands-on unsupervised learning with Python implement machine learning and deep learning models using scikit-learn, tensorflow, and more

Discover the skill-sets required to implement various approaches to Machine Learning with Python Key Features Explore unsupervised learning with clustering, autoencoders, restricted Boltzmann machines, and more Build your own neural network models using modern Python libraries Practical examples sho...

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Detalles Bibliográficos
Otros Autores: Bonaccorso, Giuseppe, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham ; Mumbai : Packt Publishing Ltd 2019.
Edición:1st edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630628906719
Tabla de Contenidos:
  • Hands-On Unsupervised Learning with Python: Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more