P. Surekha's Books

LabVIEW based Advanced Instrumentation Systems

By: S. Sumathi,P. Surekha

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LabVIEW based Advanced Instrumentation Systems

By: S. Sumathi,P. Surekha

This book provides a solid understanding of virtual instrumentation concepts, its purpose, its nature, and the applications developed using the National Instrument’s LabVIEW software. Coverage includes many worked-out examples and discusses new technologies and challenges of virtual instrumentation systems in applications in such areas as control systems, power systems, networking, robotics, communication, and artificial intelligence.

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Page Count

728

Publisher

Springer

Published Date

ISBN 10

3540485007

ISBN 13

9783540485001

Evolutionary Intelligence

An Introduction to Theory and Applications with Matlab

By: S. Sumathi,T. Hamsapriya,P. Surekha

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Evolutionary Intelligence

An Introduction to Theory and Applications with Matlab

By: S. Sumathi,T. Hamsapriya,P. Surekha

This book provides a highly accessible introduction to evolutionary computation. It details basic concepts, highlights several applications of evolutionary computation, and includes solved problems using MATLAB software and C/C++. This book also outlines some ideas on when genetic algorithms and genetic programming should be used. The most difficult part of using a genetic algorithm is how to encode the population, and the author discusses various ways to do this.

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Page Count

600

Publisher

Springer Science & Business Media

Published Date

ISBN 10

3540753826

ISBN 13

9783540753827

Machine Learning for Decision Sciences with Case Studies in Python

By: S. Sumathi,Suresh Rajappa,L. Ashok Kumar,Surekha Paneerselvam

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Machine Learning for Decision Sciences with Case Studies in Python

By: S. Sumathi,Suresh Rajappa,L. Ashok Kumar,Surekha Paneerselvam

This book provides a detailed description of machine learning algorithms in Data Analytics, Data Science Lifecycle, Python for Machine Learning, Linear Regression, Logistic Regression and so forth. It addresses the concepts of machine learning in a practical sense providing complete code and implementation for real world examples in electrical, oil and gas, e-Commerce, and Hi-tech industry. The focus is on Python programming for machine learning and patterns involved in decision science for handling data. Features: Explains the basic concepts of Python and its role in machine learning. Provides comprehensive coverage of feature-engineering including real-time case studies. Perceives the structural patterns with reference to data science and statistics and analytics. Includes machine learning-based structured exercises. Appreciates different algorithmic concepts of machine learning including unsupervised, supervised, and reinforcement learning. This book is aimed at Researchers, Professionals, and Graduate Students in Data Science, Machine Learning, Computer Science, Electrical, and Computer Engineering"--

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Page Count

454

Publisher

CRC Press

Published Date

ISBN 10

1003258808

ISBN 13

9781003258803

Book's by P. Surekha

LabVIEW based Advanced Instrumentation Systems

LabVIEW based Advanced Instrumentation Systems

Evolutionary Intelligence

Evolutionary Intelligence

Machine Learning for Decision Sciences with Case Studies in Python

Machine Learning for Decision Sciences with Case Studies in Python

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