How Machine Learning is Innovating Today's World
A Concise Technical Guide
1st Edition
Published on 1. July 2024
Book
Hardback
480 pages
978-1-394-21411-2 (ISBN)
Description
The purpose of this book is to provide the reader with an overview of the vast range of applications that have at their heart a machine learning problem and to bring some degree of order to sort out the issues. Machine learning explores various approaches to address real-world problems and automate human tasks. This book is a guide to audiences on different machine-learning techniques. Through the use of artificial intelligence, machine learning aids computers in understanding human communication and provides data about obtaining information and knowledge in different fields.
More details
Language
English
Place of publication
New York
United States
Publishing group
John Wiley & Sons Inc
Target group
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Weight
1202 gr
ISBN-13
978-1-394-21411-2 (9781394214112)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Arindam Dey | Sukanta Nayak | Ranjan Kumar
How Machine Learning is Innovating Today's World
A Concise Technical Guide
E-Book
06/2024
1st Edition
Wiley
€204.99
Available for download
Arindam Dey | Sukanta Nayak | Ranjan Kumar
How Machine Learning is Innovating Today's World
A Concise Technical Guide
E-Book
06/2024
1st Edition
Wiley
€204.99
Available for download
Persons
Dr. Arindam Dey is an Associate Professor at the School of Computer Science, VIT-AP University, India. He has published more than 50 research articles in national and international peer-reviewed journals. Dr Dey has 14 years of teaching and research experience in the areas of optimization and genetic algorithms.
Dr. Sukanta Nayak is in the Department of Mathematics in the School of Advanced Sciences (SAS) at VIT-AP University, Amaravati, Andhra Pradesh, India. Before this, he was an assistant professor in mathematics at Amrita Vishwa VidyaPeetham, Coimbatore, and has completed doctoral research at NIT Rourkela.
Dr. Ranjan Kumar is in the Department of Mathematics at the School of Advanced Sciences (SAS) at VIT-AP University, Amaravati, Andhra Pradesh, India. He has numerous peer-reviewed research articles. He is an awardee of Honorary Professorship from Cypress International Institute University, Texas, USA.
Dr. Sachi Nandan Mohanty is in the School of Computer Science and Engineering (SCOPE) at VIT-AP University, Amaravati, Andhra, Pradesh, India. He has edited 25 books and published 60 international journals of international repute, His research areas include data mining, big data analysis, cognitive science, fuzzy decision making, brain-computer interface, cognition, and computational intelligence. In 2015, he was awarded the first prize of the Best Thesis Award by the Computer Society of India.
Dr. Sukanta Nayak is in the Department of Mathematics in the School of Advanced Sciences (SAS) at VIT-AP University, Amaravati, Andhra Pradesh, India. Before this, he was an assistant professor in mathematics at Amrita Vishwa VidyaPeetham, Coimbatore, and has completed doctoral research at NIT Rourkela.
Dr. Ranjan Kumar is in the Department of Mathematics at the School of Advanced Sciences (SAS) at VIT-AP University, Amaravati, Andhra Pradesh, India. He has numerous peer-reviewed research articles. He is an awardee of Honorary Professorship from Cypress International Institute University, Texas, USA.
Dr. Sachi Nandan Mohanty is in the School of Computer Science and Engineering (SCOPE) at VIT-AP University, Amaravati, Andhra, Pradesh, India. He has edited 25 books and published 60 international journals of international repute, His research areas include data mining, big data analysis, cognitive science, fuzzy decision making, brain-computer interface, cognition, and computational intelligence. In 2015, he was awarded the first prize of the Best Thesis Award by the Computer Society of India.