MATLAB

This package includes the manual itself and access to the pattern classification toolbox (available via the web). The manual provides a brief introduction to MATLAB and the toolbox, and an appendix (nearly half the length) containing descriptions of the toolbox programs organized by chapter in the Pattern Classification text. It's all very well done, and therefore extremely helpful in learning and applying ideas and algorithms. For people with a programming background but little experience with MATLAB, working with this package (especially the toolbox source code) is enough to get you up and running. Highly recommended.

I was one of the early access recipient of this toolbox and found it extremely useful. It basically has a whole bunch of cleaning and classification algos.

The toolbox also allows one to extend its use with new algorithms, tweaks or to use our dataset. As long as its formatted in the same fashion.

I would strongly recommend this toolbox, if you are looking for additional material, another book worth having is Christopher Bishop's book.

The book is anything but teaching how to use matlab. Instead, the book is simply a collection of signals and systems problem set. And answers to questions are NOT given in the book. Nor is there any solved examples. Good job!

Each Section has a MatLab command it starts with. Explains the command, then puts it to use. A very good Sig and Sys MatLab book.

This book provides many useful examples on basic statics and strength of materials for undergraduate engineering students. These engineering problems are explained with governing equations and solved using MATLAB functions and m-files. Demonstration of beam theory, stress transformation, and truss structures will be beneficial for student to visualize the characteristics of the structures under various loading conditions. Overall I liked the book and the m-files are well documented and available from the Mathworks website.

I think there would be a real interest in a book on "computational statistics" and related topics that showed details of analyses and algorithms using Matlab. This book is expensive and extremely disappointing.The explanations are sparse and very weak and the m.files are usually small add-ons to functions from the Stats Toolbox.

I think in any book on this topic there have to be detailed explanations of how methods work and what their limitations are.Otherwise the reader can find themselves in a lot of trouble very quickly. There is insufficient detail either for a student coming to the topics for the first time or for someone actually wanting to analyse data.

Other books that people might want to have a look at:
1)Statistical Pattern Recognition 2nd edition . Andrew Webb.This is not oriented to any particular language.Good introduction.
2)Netlab. Ian Nabney (this has excellent Matlab functions for neural networks)
3)Modern applied statistics with S 4th edition, Venables and Ripley. This uses a different language (but which will be relatively easy for Matlab users to learn), but learning S or R (free!) makes a huge number of tools available.
4)The recent data mining book by Hand et al. This offers clear and cogent explanations.It is good for someone who does not want overly mathematical descriptions.

I haven't looked properly at the recent Hastie,Friedman and Tibishirani book yet, but you can find reviews on the Amazon page for the book.

My major complain was that the authors, in general, did not present algorithms clearly. Limit selections of algorithms did not help either. As a result, you cannot use this book as a reference because it just does not contain enough material. You cannot learn much about computational statistics with this book becuase the statistic methods and algorithms are not adequately presented. you cannot even write codes for your own statistic analysis with the MATLAB examples shown in the book unless you have the Statistics Toolbox.
The only persons that might be benefit from this book are those who don't want to read the Statistics Toolbox manual on line. Given that the Mathworks no longer ship printed manuals, this book may be used a companion of the Statistics Toolbox.

There were a lot of negative comments for this book on Amazon so I sort of held off the purchase of this book. However, last week I ordered the book and quickly realised it is very useful. The book may lack detailed theory but excellent references are scattered throughout if you really want to follow it up. And the book is easy reading and well written with most statistical concepts defined before they are used.

The focus of this book primarily is to explain how to work on statistics using Matlab and it provides a taste of various areas with adequate explanations and code to get started. One advantage of this book is they do not define their own notation but use the notation which is currently in vogue in academia.

If you are starting out in Matlab, are not a statistician and do not have previous experience with other packages (like Splus or R) you should definetly think about getting a copy. If you are a Stats Guru you can just read the toolbox documentation. However note that these authors provide their additional stats toolbox FREE (which is also well written) on the website which contains most of Matlab statistical functions so you could save yourself some money on the Stats toolbox.

this book presents a theory of control systems clearly and lucidly and presents the matlab simulation of control systems in a way which is most needed for brush-up in the eleventh hour. the author has taken keen interest in presenting the subject right from the grassroot level and a gradual development of the concepts is presented in the easy-to-use tool like way. i firmly believe that this should be in the bag of all engineers working on simulation of control systems.