MATLAB machine learning recipes : a problem-solution approach /

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Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem. All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach is executable....

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Paluszek, Michael (Autor), Thomas, Stephanie (Educator) (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Apress, [2019]
Edición:Second edition.
Temas:
MATLAB.
MATLAB
Machine learning.
Apprentissage automatique.
COMPUTERS > General.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Introduction
  • An overview of machine learning
  • Representation of data for machine learning in MATLAB
  • MATLAB graphics
  • Kalman filters
  • Adaptive control
  • Fuzzy logic
  • Data classification with decision trees
  • Introduction to neural nets
  • Classification of numbers using neural networks
  • Pattern recognition with deep learning
  • Neural aircraft control
  • Multiple hypothesis testing
  • Autonomous driving with multiple hypothesis testing
  • Case-based expert systems
  • A brief history of autonomous learning
  • Software for machine learning.

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