Machine Learning For Absolute Beginners, By(Dr. M. Dhinakaran ,Prof. P. Deepthi ,Dr. S. Shyni Carmel Mary, Mr. Arpit Namdev)
- Publisher : Booksclinic Publishing
- Language : English
- ISBN-13 : 9789355359933
- Reading Age : 3 Years And Up
- Country Of Origin : India
- Generic Name : Book
99 in stock (can be backordered)
“Dr. M. Dhinakaran is presently working as an Associate Professor in the Department of Electronics and Communication Engineering, at Government College of Engineering Salem, Tamilnadu. He completed his Ph.D. in the field of Process Control (Bio-Medical) from Annamalai University, Chidambaram, Tamilnadu and received his Master of Engineering (Instrumentation & Control) from Thapar University, Punjab, and Bachelor of Engineering (EEE) from Anna University, Chennai, Tamilnadu. He has more than 20 years of experience in Teaching and Research. He has published 40 articles in various International Journals and Conferences. He also has 3 patents, 2 Book Chapters and book publication on Computer Networks & Fundamentals of Internet of Things; He has guided many UG and PG students, his research areas are Biomedical Instrumentation, Process Control, Wireless Networks etc.
Deepthi P is presently working as an Assistant Professor in the Department of Electronics and Communication Engineering, at the Government College of Engineering, Salem, Tamilnadu. She received her Bachelor Degree in Electronics and Communication Engineering from Coimbatore Institute of Technology, Coimbatore and Master Degree in Communication Systems from National Institute of Technology, Trichy. She is pursuing her Doctoral Degree in the Faculty of Information and Communication Engineering in Anna University, Chennai. She has guided many UG and PG students, her research areas are Antenna design, Biomedical Instrumentation, Microwave Engineering, and Wireless Network etc. She has published 15 articles in various International Journals and Conferences and 2 book chapters so far. She also published books on Optical and Microwave Engineering & Fundamentals of Internet of Things.
Dr. S. Shyni Carmel Mary, Assistant Professor at LIBA. She is teaching courses on Machine Learning, Artificial Intelligence, Business Analytics, Data Mining, Big Data, and Data Science using Python. Additionally, she is the Co-Chair of the online programs and the coordinator for the Two years Online Diploma Program (eMBA) offered for students outside India. She served as a senior research associate at Liba. She also has 6 years of teaching experience as an assistant professor. 3 years of teaching experience as a guest faculty at Anna University and Madras University, plus 6 years of research experience. She also worked as a research coordinator in intelligence private limited for 4 years and six months. She has been serving as a content creator and teaching assistant for EMRC Anna University jointly with MHRD Projects. Her interest is Artificisl intelligence and machine learning in education, business and healthcare. She on going research project is on AI ethics in healthcare. She has published research articles (national and international), including ABDC, Web of Science, springer, Taylor and Francis, IEEE, and Scopus Journals. She has written books and book chapters available on Amazon. She has also presented papers at international conferences and received the best paper presenter award, and she has also been presented with the best researcher award. She is a recipient of the award for Best Faculty during the Teachers’ Day Achievers Award Ceremony 2021.
Mr. Arpit Namdev working as Assistant Professor in the department of information technology .he has 8 years of teaching experience .he obtain Bachlor of Engineering in Information technology form Rajiv Gandhi Proudyogiki Vishwavidyalaya Bhopal(M.P).He achieved Master of technology in Computer science and Engineering form Rajiv Gandhi Proudyogiki Vishwavidyalaya Bhopal(M.P).He has Published several paper in reputed international/international journels .he has several patents .his main area is Wireless sensor netwok, Ad hoc Network.”
|Dimensions||6 × 9 cm|
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