عنوان

MATLAB machine learning recipes :

(Number (ISBN

1484239164

(Number (ISBN

1484252411

(Number (ISBN

9781484239162

(Number (ISBN

9781484252413

Erroneous ISBN

1484239156

Erroneous ISBN

1484239172

Erroneous ISBN

9781484239155

Erroneous ISBN

9781484239179

Title Proper

MATLAB machine learning recipes :

General Material Designation

[Book]

Other Title Information

a problem-solution approach /

First Statement of Responsibility

Michael Paluszek and Stephanie Thomas.

Edition Statement

Second edition.

Place of Publication, Distribution, etc.

New York :

Name of Publisher, Distributor, etc.

Apress,

Date of Publication, Distribution, etc.

[2019]

Date of Publication, Distribution, etc.

©2019

Specific Material Designation and Extent of Item

1 online resource :

Other Physical Details

illustrations

Text of Note

Includes bibliographical references and index.

Text of Note

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.

0

Text of Note

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. The toolbox that the code uses provides a complete set of functions needed to implement all aspects of machine learning. Authors Michael Paluszek and Stephanie Thomas show how all of these technologies allow the reader to build sophisticated applications to solve problems with pattern recognition, autonomous driving, expert systems, and much more. You will: Learn to write code for machine learning, adaptive control and estimation using MATLAB See how these three areas complement each other Understand why these three areas are needed for robust machine learning applications Use MATLAB graphics and visualization tools for machine learning Code real world examples in MATLAB for major applications of machine learning in big data.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9781484239162

International Standard Book Number

9781484239155

International Standard Book Number

9781484239179

MATLAB.

MATLAB

Machine learning.

COMPUTERS-- General.

Machine learning.

COM-- 000000

UYQ

UYQ

Number

Edition

Class number

Paluszek, Michael

Thomas, Stephanie, (Educator)

Date of Transaction

20200823032425.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y