MATLAB machine learning recipes : a problem-solution approach /

Show other versions (1)

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....

Full description

Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Paluszek, Michael (Author), Thomas, Stephanie (Educator) (Author)
Format: Electronic eBook
Language:Inglés
Published: New York : Apress, [2019]
Edition:Second edition.
Subjects:
MATLAB.
MATLAB
Machine learning.
Apprentissage automatique.
COMPUTERS > General.
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • 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.

Similar Items