MATLAB machine learning recipes : a problem-solution approach

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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Bibliographic Details
Main Authors Paluszek, Michael (Author), Thomas, Stephanie (Educator) (Author)
Format Electronic eBook
LanguageEnglish
Published New York : Apress, [2019]
EditionSecond edition.
Subjects
MATLAB.
MATLAB
Machine learning.
elektronické knihy
electronic books
Online AccessFull text
ISBN9781484239162
1484239164
9781484252413
1484252411
9781484239155
1484239156
9781484239179
1484239172
Physical Description1 online resource : illustrations

Cover

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.

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