Language : English
Published : 2018-04-10
Pages : 608
Matlab for Engineering Applications 4th International Edition
MATLAB for Engineering Applications is a simple, concise book designed to be useful for beginners and to be kept as a reference. MATLAB is a globally available standard computational tool for engineers and scientists. The terminology, syntax, and the use of the programming language are well defined, and the organization of the material makes it easy to locate information and navigate through the textbook. The text covers all the major capabilities of MATLAB that are useful for beginning students. The text consists of 11 chapters. The first five chapters constitute a basic course in MATLAB. The remaining six chapters are independent of each other and cover more advanced applications of MATLAB, the Control Systems tool- box, Simulink, and the Symbolic Math toolbox.
A Gift of Fire: Social, Legal, and Ethical Issues for Computing Technology, 4e is ideal for courses in Computer Ethics and Computers and Society. It is also a useful reference for computer science professionals or anyone interested in learning more about computing technology and its overarching impact.
Sara Baase explores the social, legal, philosophical, ethical, political, constitutional, and economic implications of computing and the controversies they raise. With a computer scientist’s perspective, and with historical context for many issues, she covers the issues students will face both as members of a technological society and as professionals in computer-related fields. A primary goal is to develop computer professionals who understand the implications of what they create and how it fits into society at large.
About the Author
Nicole Fenton is an independent writer and editor in Brooklyn. She has worked at a large social network, a startup incubator, a design studio, and Apple. She manages content projects of all sizes and teaches writing as a design practice. Kate Kiefer Lee is a writer and editor at MailChimp and a former magazine editor. She has written for publications like Forbes and A List Apart, and spoken about web content around the world. She teaches people how to write like they talk.
Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms. Quotes This book provides a comprehensive coverage of important data mining techniques. Numerous examples are provided to lucidly illustrate the key concepts. -Sanjay Ranka, University of Florida In my opinion this is currently the best data mining text book on the market. I like the comprehensive coverage which spans all major data mining techniques including classification, clustering, and pattern mining (association rules). -Mohammed Zaki, Rensselaer Polytechnic Institute