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Author: Rudra Pratap
Publisher: Oxford University Press, USA
Published: 2006
Total Pages: 0
ISBN-13: 9780195179378
DOWNLOAD EBOOKMATLAB is one of the most widely used tools in the field of engineering today. Its broad appeal lies in its interactive environment with hundreds of built-in functions. This book is designed to get you up and running in just a few hours.
Author: Rudra Pratap
Publisher: Oxford University Press, USA
Published: 2016-01-23
Total Pages: 0
ISBN-13: 9780190602062
DOWNLOAD EBOOKMATLAB is one of the most widely used tools in the field of engineering today. Its broad appeal lies in its interactive environment with hundreds of built-in functions. This book is designed to get you up and running in just a few hours -- Provided by publisher.
Author: Brian R. Hunt
Publisher: Cambridge University Press
Published: 2001-08-06
Total Pages: 348
ISBN-13: 9780521008594
DOWNLOAD EBOOKThis book is a short, focused introduction to MATLAB and should be useful to both beginning and experienced users.
Author: Tobin A. Driscoll
Publisher: SIAM
Published: 2009-07-23
Total Pages: 104
ISBN-13: 0898716837
DOWNLOAD EBOOKA handbook for MATLAB which gives a focused approach to the software for students and professional researchers.
Author: Timothy A. Davis
Publisher: CRC Press
Published: 2010-08-18
Total Pages: 232
ISBN-13: 1439828636
DOWNLOAD EBOOKHighlighting the new aspects of MATLAB 7.10 and expanding on many existing features, this eighth edition continues to offer a hands-on, step-by-step introduction to using the powerful tools of MATLAB. It includes a new chapter on object-oriented programming, a new discussion of the MATLAB File Exchange window, major changes to the MATLAB Editor, and an explanation of more powerful Help tools. It also presents a synopsis of the most frequently used functions, operators, and special characters-providing quick and easy access to frequently used information. M-files and MEX-files for large examples are available at www.crcpress.com
Author: Giuseppe Ciaburro
Publisher: Packt Publishing Ltd
Published: 2017-08-28
Total Pages: 374
ISBN-13: 1788399390
DOWNLOAD EBOOKExtract 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-follow guide Learn regression, clustering, classification, predictive analytics, artificial neural networks and more with MATLAB Understand how your data works and identify hidden layers in the data with the power of machine learning. Who This Book Is For This book is for data analysts, data scientists, students, or anyone who is looking to get started with machine learning and want to build efficient data processing and predicting applications. A mathematical and statistical background will really help in following this book well. What You Will Learn Learn the introductory concepts of machine learning. Discover different ways to transform data using SAS XPORT, import and export tools, Explore the different types of regression techniques such as simple & multiple linear regression, ordinary least squares estimation, correlations and how to apply them to your data. Discover the basics of classification methods and how to implement Naive Bayes algorithm and Decision Trees in the Matlab environment. Uncover how to use clustering methods like hierarchical clustering to grouping data using the similarity measures. Know how to perform data fitting, pattern recognition, and clustering analysis with the help of MATLAB Neural Network Toolbox. Learn feature selection and extraction for dimensionality reduction leading to improved performance. In Detail MATLAB is the language of choice for many researchers and mathematics experts for machine learning. This book will help you build a foundation in machine learning using MATLAB for beginners. You'll start by getting your system ready with t he MATLAB environment for machine learning and you'll see how to easily interact with the Matlab workspace. We'll then move on to data cleansing, mining and analyzing various data types in machine learning and you'll see how to display data values on a plot. Next, you'll get to know about the different types of regression techniques and how to apply them to your data using the MATLAB functions. You'll understand the basic concepts of neural networks and perform data fitting, pattern recognition, and clustering analysis. Finally, you'll explore feature selection and extraction techniques for dimensionality reduction for performance improvement. At the end of the book, you will learn to put it all together into real-world cases covering major machine learning algorithms and be comfortable in performing machine learning with MATLAB. Style and approach The book takes a very comprehensive approach to enhance your understanding of machine learning using MATLAB. Sufficient real-world examples and use cases are included in the book to help you grasp the concepts quickly and apply them easily in your day-to-day work.
Author: William Bober
Publisher: CRC Press
Published: 2017-09-11
Total Pages: 224
ISBN-13: 1351666967
DOWNLOAD EBOOKAll disciplines of science and engineering use numerical methods for complex problem analysis, due to the highly mathematical nature of the field. Analytical methods alone are unable to solve many complex problems engineering students and professionals confront. Introduction to MATLAB® Programming for Engineers and Scientists examines the basic elements of code writing, and describes MATLAB® methods for solving common engineering problems and applications across the range of engineering disciplines. The text uses a class-tested learning approach and accessible two-color page design to guide students from basic programming to the skills needed for future coursework and engineering practice.
Author: Desmond J. Higham
Publisher: SIAM
Published: 2016-12-27
Total Pages: 485
ISBN-13: 1611974658
DOWNLOAD EBOOKMATLAB is an interactive system for numerical computation that is widely used for teaching and research in industry and academia. It provides a modern programming language and problem solving environment, with powerful data structures, customizable graphics, and easy-to-use editing and debugging tools. This third edition of MATLAB Guide completely revises and updates the best-selling second edition and is more than 30 percent longer. The book remains a lively, concise introduction to the most popular and important features of MATLAB and the Symbolic Math Toolbox. Key features are a tutorial in Chapter 1 that gives a hands-on overview of MATLAB; a thorough treatment of MATLAB mathematics, including the linear algebra and numerical analysis functions and the differential equation solvers; and a web page at http://www.siam.org/books/ot150 that provides example program files, updates, and links to MATLAB resources. The new edition contains color figures throughout; includes pithy discussions of related topics in new ?Asides" boxes that augment the text; has new chapters on the Parallel Computing Toolbox, object-oriented programming, graphs, and large data sets; covers important new MATLAB data types such as categorical arrays, string arrays, tall arrays, tables, and timetables; contains more on MATLAB workflow, including the Live Editor and unit tests; and fully reflects major updates to the MATLAB graphics system. This book is suitable for both beginners and more experienced users, including students, researchers, and practitioners.
Author: Agus Kurniawan
Publisher: PE Press
Published:
Total Pages: 148
ISBN-13:
DOWNLOAD EBOOKGetting started with Matlab Simulink and Arduino comprehensively explains how to use MATLAB and Simulink to perform Arduino simulation. This book begins with covering the Matlab Simulink with targeting Arduino, and the solutions to different problems in simulation. *TOC* 1. Preparing Development Environment 2. Matlab Simulink and Arduino 3. Hello World - Matlab Simulink and Arduino 4. Simulink with Arduino Digital I/O 4.1 Working with Arduino Digital I/O 4.2 Digital Sources 4.3 Simulink with Arduino Digital I/O 4.4 Testing 5. Simulink with Arduino Analog I/O 5.1 Simulink with Arduino Analog Input 5.2 Simulink with Arduino Analog Output 6. Simulink with Arduino Serial 6.1 Arduino Serial Communication 6.2 Configuring Arduino 6.3 Building a Simulink Model 6.4 Testing 7. Simulink with Arduino and Servo Motor 7.1 Servo Motor 7.2 Building A Simulink Hardware 7.3 Building A Simulink Model with Arduino and Servo Motor 7.4 Testing
Author: Huei-Huang Lee
Publisher: SDC Publications
Published: 2016
Total Pages: 406
ISBN-13: 1630570133
DOWNLOAD EBOOKThis book is designed for undergraduate students, completely new to programming with MATLAB. Case studies and examples are used extensively throughout this book and are at the core of what makes this book so unique. The author believes that the best way to learn MATLAB is to study programs written by experienced programmers and that the quality of these example programs determines the quality of the book. The examples in this book are carefully designed to teach you MATLAB programming as well as to inspire within you your own problem solving potential. Most of the examples used in this book are designed to solve a whole class of problems, rather than a single, specific problem. A learn by doing teaching approach is used all through the book. You are guided to tackle a problem using MATLAB commands first and then the commands are explained line by line. This process of learning through hands on experience is one of the most efficient and pain-free ways of learning MATLAB. This approach, together with the extensive use of ordered textboxes, figures, and tables, greatly reduces the size of the book, while still providing you with a book that’s comprehensive and easy to follow. The first chapter of this book introduces the MATLAB programming environment and familiarizes you with MATLAB’s core functionality. Chapters two through nine discuss basic MATLAB functionalities in a progressive and comprehensive way. The chapters start out simple and build in complexity as you advance through the book. Chapters ten through thirteen cover advanced topics that are particularly useful in college programs. Each chapter consists of sections, each covering a topic and providing one or more examples. Related MATLAB functions are organized at the end of a section. Additional exercise problems are provided at the end of chapters two through nine. Examples in each section are presented in a consistent way. An example is usually described first, followed by a MATLAB script. Any resulting text and graphics output (and in some cases inputs) that are produced from running a script are presented and discussed. Finally, the remainder of each section is devoted to explaining the purpose of the lines of the script.
