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

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

Machine learning has taken time to move into the space of academic economics. This is because empirical research in economics is concentrated on the identification of causal relationships in parsimonious statistical models; whereas machine learning is oriented towards prediction and is generally uni...

Descripción completa

Detalles Bibliográficos
Otros Autores: Hull, Isaiah, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, California : Apress [2021]
Edición:1st ed. 2021.
Materias:
Machine learning.
Application software > Development.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631065406719
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.

Ejemplares similares