Machine learning is invading this world gradually and gradually. If we can develop a driverless car then it is machine learning but if this driverless car also stops at traffic lights depending on the signals then it is deep learning. The present book is on Machine Learning that has been delineated in this book with several experiments in machine learning lab., several case studies, case tools and some projects in machine learning.
SALIENT FEATURES -
• Quite precise but covering almost every aspect of machine learning.
• Bolstered with several examples, case studies, case tools, experiments in ML lab., some projects in ML.
Suits both a student and a professor alike.
• Exam question paper(s) included.
Dr. Rajiv Chopra has a Doctorate (Ph. D. Computer Science) in Computer Science from Banasthali Vidyapith University. Also he has M. Tech. (IT) from Guru Gobind Singh Indraprastha University, Delhi. He is MIT and BE in Computer Science Engineering. The author has 30 books to his credit. He has published several research papers in Refereed International Journals and Refereed International Conferences. Also the author is the life member of CSI, ISTE and CEGR. Also he is the reviewer of American Journal of AI.
The author is diligent, ebullient and inquisitive Associate Professor in department of Computer Science Engineering at GTBIT Delhi. He has more than 20 years of teaching experience. He has demonstrated great technical insight which exemplifies his profound knowledge of Computer Science. His innovative solutions to the problems, determination and work ethics are few of his attributes to endorse. His propensity to grasp the concepts of ML has simplified the book. The author has shown a right blend of aptitude, merit and determination