This book is not meant to be a comprehensive textbook on machine learning. Instead, it will give you a base of knowledge to continue with your study of machine learning and artificial intelligence. In order to continue your studies and master the subject, there is a large degree of studying that must be done. Will discuss the general structure and organization of machine learning models, the common terms, and the basic statistical concepts necessary to use and understand machine learning.
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Publication Year
2022
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Author Info
Dr. N. Raghavendra Sai, is an academician with in-depth knowledge and profound skill set in teaching pedagogy, research, education, and administration. His career experience spans around 15 years, presently he is currently working as an Associate Professor in the Department of Computer Science and Engineering, KL University, Vaddeswaram, and completed his Ph.D. from Bharathiar University Coimbatore, and received his Master’s Degree from Acharya Nagarjuna University. He has been a pioneer in teaching and research with a focus on Data Mining, Intrusion Detection systems, Data Modelling, Machine learning, Deep learning, and Cloud computing. He has a profound interest in research and has guided students and published more than 35 research articles in peer-reviewed journals and international conferences of repute. He has also authored textbooks for engineering students. He is also a Member of many Editorial boards and Reviewers for various International journals and received Bharat Excellence Award from FFI New Delhi and many more awards for his research.
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