Practical Guide to Machine Learning, NLP, and Generative AI: Libraries, Algorithms, and Applications (River Publishers Series in Rapids in Computing and Information Science and Technology)

Mariprasath, T.; Cheepati, Kumar Reddy; Rivera, Marco

ISBN 10: 8770046530 / ISBN 13: 9788770046534

Verlag: River Publishers, 2024

In. Bestandsnummer des Verkäufers ria9788770046534_new

Inhaltsangabe:

This is an essential resource for beginners and experienced practitioners in machine learning. This comprehensive guide covers a broad spectrum of machine learning topics, starting with an in-depth exploration of popular machine learning libraries.

Über die Autorin bzw. den Autor:

Dr. T. Mariprasath received his Ph.D. degree from the Rural Energy Centre at The Gandhigram Rural Institute (Deemed to be University) in January 2017, fully funded by the Ministry of Human Resource Development―Government of India. Since June 2018, he has been working as an Associate Professor in the Department of EEE at K.S.R.M. College of Engineering (Autonomous), Andhra Pradesh, India. He has published in 10 articles in journals indexed in the Science Citation Index and 15 articles indexed in Scopus. Additionally, he has authored three books and six book chapters. Moreover, he holds an Indian patent and has been granted an Australian innovation patent. He received Rs. 6 lakhs from the Ministry of Micro, Small, and Medium Enterprises to develop a self-powered GPS tracker. His research interests include green materials, electric vehicles, solar PV, and machine learning.

Dr. Kumar Reddy Cheepati received his B.Eng. degree in electrical and electronics engineering from the St. Joseph’s College of Engineering, Chennai, India in 2009, his M.Tech. degree in maintenance engineering from SJCE, Mysore, India (now JSS Technical University) in 2011, and his Ph.D. degree from JNTUK, Kakinada, India in 2021. He is currently working as an Associate Professor with the Department of Electrical and Electronics Engineering, KSRM College of Engineering, Kadapa, Andhra Pradesh, India. He has 12 years of academic experience. He has published research papers in various international journals of high repute, including Scopus, SCI, and ESCI indexed journals. He is an active reviewer of the Electrical Power System Research (EPSR) journal, Journal of Circuits, Systems, and Computers (JCSC), Journal of Engineering Research (JER), and Circuit World journal.

Dr. Marco E. Rivera (Senior Member, IEEE) received an electronic civil engineering degree and M.Sc. degree in engineering, with specialization in electrical engineering, from the Universidad de Concepción, Concepción, Chile, and a Ph.D. degree in electronic engineering from the Universidad Técnica Federico Santa María, Valparaíso, Chile, in 2012. He has been a visiting professor at several international universities. He has directed and participated in several projects financed by the National Fund for Scientific and Technological development (Fondo Nacional de Desarrollo Científico y Tecnológico, FONDECYT), the Chilean National Agency for Research and Development (Agencia Nacional de Investigación y Desarrollo, ANID), and the Paraguayan Program for the Development of Science and Technology (Proyecto Paraguayo para el Desarrollo de la Ciencia y Tecnología, PROCIENCIA), among others. He has been the responsible researcher of basal financed projects whose objective is to enhance, through substantial and long-term financing, Chile's economic development through excellence and applied research. He is the Director of the Laboratory of Energy Conversion and Power Electronics (Laboratorio de Conversión de Energías y Electrónica de Potencia, LCEEP), Universidad de Talca, Talca, Chile. He was a Full Professor with the Department of Electrical Engineering, Universidad de Talca. Since April 2023, he has been a Professor with the Power Electronics and Machine Centre, University of Nottingham, Nottingham¸ UK. He has authored or coauthored more than 500 academic publications in leading international conferences and journals. His main research areas are matrix converters, predictive and digital controls for high-power drives, four-leg converters, development of high-performance control platforms based on field-programmable gate arrays, renewable energies, advanced control of power converters, design, assembly and start-up of power converters, among others.

Bibliografische Details

Titel: Practical Guide to Machine Learning, NLP, ...
Verlag: River Publishers
Erscheinungsdatum: 2024
Einband: Softcover
Zustand: New