Machine Learning Methods for Engineering Application Development by Basant Verma

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Machine Learning Methods for Engineering Application Development by Basant Verma

This book is a quick review of machine learning methods for engineeringapplications. It provides an introduction to the principles of machine learningand common algorithms in the first section. Proceeding chapters summarize andanalyze the existing scholarly work and discuss some general issues in this field.Next, it offers some guidelines on applying machine learning methods to softwareengineering tasks. Finally, it gives an outlook into some of the futuredevelopments and possibly new research areas of machine learning and artificialintelligence in general.Techniques highlighted in the book include: Bayesian models, supportvector machines, decision tree induction, regression analysis, and recurrent andconvolutional neural network. Finally, it also intends to be a reference book. Key Features: Describes real-world problems that can be solved using machine learningExplains methods for directly applying machine learning techniques to concrete real-world problemsExplains concepts used in Industry 4.0 platforms, including the use and integration of AI, ML, Big Data, NLP, and the Internet of Things (IoT). It does not require prior knowledge of the machine learning This book is meantto be an introduction to artificial intelligence (AI), machine earning, and itsapplications in Industry 4.0. It explains the basic mathematical principlesbut is intended to be understandable for readers who do not have a backgroundin advanced mathematics.
Kailash Kumar received his Ph.D. from McMaster University in Hamilton, Canada. He taught in the United States and India, and in 1960 joined the faculty of the Department of Theoretical Physics at the Australian National University, from which he retired in 1996. He made numerous significant contributions to the study of many body problems involving atomic nuclei and particle transport questions, and he served for several years on the editorial board of the journal Transport Theory and Statistical Physics.
SKU Unavailable
ISBN 13 9789815079203
ISBN 10 9815079204
Title Machine Learning Methods for Engineering Application Development
Author Basant Verma
Condition Unavailable
Binding Type Paperback
Publisher Bentham Science Publishers
Year published 2022-11-11
Number of pages 240
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.