Machine and Deep Learning Using MATLAB

Machine and Deep Learning Using MATLAB
Author :
Publisher : John Wiley & Sons
Total Pages : 596
Release :
ISBN-10 : 9781394209101
ISBN-13 : 139420910X
Rating : 4/5 (01 Downloads)

Book Synopsis Machine and Deep Learning Using MATLAB by : Kamal I. M. Al-Malah

Download or read book Machine and Deep Learning Using MATLAB written by Kamal I. M. Al-Malah and published by John Wiley & Sons. This book was released on 2023-10-12 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: MACHINE AND DEEP LEARNING In-depth resource covering machine and deep learning methods using MATLAB tools and algorithms, providing insights and algorithmic decision-making processes Machine and Deep Learning Using MATLAB introduces early career professionals to the power of MATLAB to explore machine and deep learning applications by explaining the relevant MATLAB tool or app and how it is used for a given method or a collection of methods. Its properties, in terms of input and output arguments, are explained, the limitations or applicability is indicated via an accompanied text or a table, and a complete running example is shown with all needed MATLAB command prompt code. The text also presents the results, in the form of figures or tables, in parallel with the given MATLAB code, and the MATLAB written code can be later used as a template for trying to solve new cases or datasets. Throughout, the text features worked examples in each chapter for self-study with an accompanying website providing solutions and coding samples. Highlighted notes draw the attention of the user to critical points or issues. Readers will also find information on: Numeric data acquisition and analysis in the form of applying computational algorithms to predict the numeric data patterns (clustering or unsupervised learning) Relationships between predictors and response variable (supervised), categorically sub-divided into classification (discrete response) and regression (continuous response) Image acquisition and analysis in the form of applying one of neural networks, and estimating net accuracy, net loss, and/or RMSE for the successive training, validation, and testing steps Retraining and creation for image labeling, object identification, regression classification, and text recognition Machine and Deep Learning Using MATLAB is a useful and highly comprehensive resource on the subject for professionals, advanced students, and researchers who have some familiarity with MATLAB and are situated in engineering and scientific fields, who wish to gain mastery over the software and its numerous applications.


Machine and Deep Learning Using MATLAB Related Books

MATLAB for Machine Learning
Language: en
Pages: 374
Authors: Giuseppe Ciaburro
Categories: Computers
Type: BOOK - Published: 2017-08-28 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Extract patterns and knowledge from your data in easy way using MATLAB About This Book Get your first steps into machine learning with the help of this easy-to-
MATLAB Deep Learning
Language: en
Pages: 162
Authors: Phil Kim
Categories: Computers
Type: BOOK - Published: 2017-06-15 - Publisher: Apress

DOWNLOAD EBOOK

Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural n
Computational Methods for Deep Learning
Language: en
Pages: 141
Authors: Wei Qi Yan
Categories: Computers
Type: BOOK - Published: 2020-12-04 - Publisher: Springer Nature

DOWNLOAD EBOOK

Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy
MATLAB Machine Learning
Language: en
Pages: 335
Authors: Michael Paluszek
Categories: Computers
Type: BOOK - Published: 2016-12-28 - Publisher: Apress

DOWNLOAD EBOOK

This book is a comprehensive guide to machine learning with worked examples in MATLAB. It starts with an overview of the history of Artificial Intelligence and
Practical MATLAB Deep Learning
Language: en
Pages: 260
Authors: Michael Paluszek
Categories: Computers
Type: BOOK - Published: 2020-02-07 - Publisher: Apress

DOWNLOAD EBOOK

Harness the power of MATLAB for deep-learning challenges. This book provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. You’