Mastering Matlab 7 Free Ebook 85
Gunn Capra
Get this ebook, download the code, and step through a hands-on machine learning tutorial that helps you master machine learning techniques. The MATLAB machine learning example, a heart sounds classifier, takes you from loading data to deploying a trained model.
Steven M. LaValle is an American computer scientist and a professor in the Faculty of Information Technology and Electrical Engineering at the University of Oulu. He was also an early founder and head scientist of Oculus VR until it was acquired by Facebook in 2014.
Engineers around the world depend on MATLAB for its power, usability, and outstanding graphics capabilities. Yet too often, engineering students are either left on their own to acquire the background they need to use MATLAB, or they must learn the program concurrently within an advanced course. Both of these options delay students from solving realistic design problems, especially when they do not have a text focused on applications relevant to their field and written at the appropriate level of mathematics.
Ideal for use as a short-course textbook and for self-study Elementary Mathematical and Computational Tools for Electrical and Computer Engineers Using MATLAB fills that gap. Accessible after just one semester of calculus, it introduces the many practical analytical and numerical tools that are essential to success both in future studies and in professional life. Sharply focused on the needs of the electrical and computer engineering communities, the text provides a wealth of relevant exercises and design problems. Changes in MATLAB's version 6.0 are included in a special addendum.
The lack of skills in fundamental quantitative tools can seriously impede progress in one's engineering studies or career. By working through this text, either in a lecture/lab environment or by themselves, readers will not only begin mastering MATLAB, but they will also hone their analytical and computational skills to a level that will help them to enjoy and succeed in subsequent electrical and computer engineering pursuits.
A number of Matlab based simulation codes are included in this 2nd edition to assist the readers in mastering the subject and most importantly to encourage them to write their own simulation codes and enhance their knowledge.
Textbook: Linear Algebra and Its Applications, 5th edition, by David C. Lay; published by Pearson (Addison Wesley) This is the textbook available at the UC San Diego bookstore. If you choose to purchase it elsewhere, be aware that you need MyMathLab access, which is included with the bookstore version of the textbook (but not with all versions). Note: you may also forego the physical textbook and just purchase a MyMathLab access code directly from MyMathLab the first time you login (see TritonEd below); this includes access to the ebook version of the textbook.
TritonEd & MyMathLab: We will use TritonEd for two purposes in this class: to disseminate grades, and as a portal to MyMathLab, the online homework system associated to the textbook, through which you will submit your homework. In the course page on TritonEd, you can click on MyLab in the right tab. There you will see links to Pearson MyMathLab. The first time you login, you will be prompted to create an account with Pearson, and then enter the access code that came with your textbook (or you may purchase one here). This is a one-time procedure; after that every time you login will give you direct access to MyMathLab. There you will find all currently available homework assignments, along with their listed due dates. You will also have access to the ebook version of the textbook here (for the lifetime of the current edition).
- Note: You may register for MyMathLab for 14 days before paying if you need time to decide.