GETTING STARTED WITH MATLAB RUDRA PRATAP PDF

Designed for an introductory electric circuits course, the second edition of Linear Circuit Analysis provides authoritative and in-depth yet highly accessible coverage of traditional linear circuit analysis topics--both concepts and computation. This second edition represents an exhaustive revision, featuring:. Twenty percent more examples and numerous additional illustrations. Approximately three times as many exercises immediately following the examples. Excellent pedagogical elements including case studies, motivational real-world illustrations, and key terms and concepts A CD in each book!

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Designed for an introductory electric circuits course, the second edition of Linear Circuit Analysis provides authoritative and in-depth yet highly accessible coverage of traditional linear circuit analysis topics--both concepts and computation. This second edition represents an exhaustive revision, featuring:. Twenty percent more examples and numerous additional illustrations. Approximately three times as many exercises immediately following the examples.

Excellent pedagogical elements including case studies, motivational real-world illustrations, and key terms and concepts A CD in each book! The CD contains:. These solutions have been solved step-by-step by the authors and are installed on the disk in an Adobe Acrobat r file.

Solutions are available at www. Laboratory Manual. A page laboratory manual is resident on the in-text CD in Adobe Acrobat. It includes course objectives, course requirements, laboratory safety instructions, fifteen experiments, and nine useful appendices.

This powerful simulation software contains a fully functional version of Multisim r and includes a component database, 6 virtual instruments, 6 analyses, the Simplified Version Interface, and Save and Print capabilities. It creates and saves new circuits and will read and simulate any circuit created in the Multisim r Education or Student Editions. Solutions Manual CD to Accompany Linear Circuit Analysis with complete detailed solutions to all the end-of-chapter problems.

For more information, call your Oxford sales representative at Microsoft PowerPoint r Overheads to Accompany Linear Circuit Analysis includes over figures and captions from the book, enlarged and enhanced for classroom presentation. A website, www.

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Rudra Pratap

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 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. Learn feature selection and extraction for dimensionality reduction leading to improved performance. 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.

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Getting Started with MATLAB

Command Window Edit Window Figure 1. The Figure and the Editor windows appear only when invoked with the appropriate commands. For example, there is no need to declare variables as real or complex. No dimension statements are required for vectors or arrays. You can nd the dimensions of an existing matrix or a vector with the size and length for vectors only commands. Thus a and A are dierent variables. You can turn case sensitivity on and o with the casesen command.

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