Machine learning for economics and finance in TensorFlow 2 : deep learning models for research and industry /

Find solutions to problems in economics and finance using tools from machine learning. ML has taken time to move into the space of academic economics. This is because empirical work in economics is concentrated on the identification of causal relationships in parsimonious statistical models; whereas...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Hull, Isaiah (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berkeley, CA : Apress, [2021]
Temas:
TensorFlow.
Machine learning.
Application software > Development.
Apprentissage automatique.
Logiciels d'application > Développement.
Application software > Development
Artificial intelligence
Machine learning
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Chapter 1: TensorFlow 2.0
  • Chapter 2: Machine Learning and Economics
  • Chapter 3: Regression
  • Chapter 4: Trees
  • Chapter 5: Image Classification
  • Chapter 6: Text Data
  • Chapter 7: Time Series
  • Chapter 8: Dimensionality Reduction
  • Chapter 9: Generative Models
  • Chapter 10: Theoretical Models.

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