Description
Machine Learning: Foundations, Algorithms and Applications is a book that introduces the fundamental concepts of Machine Learning.
It explains how machines learn patterns from data and make predictions or decisions.
The book covers important learning approaches such as supervised, unsupervised, and reinforcement learning.
It discusses popular algorithms such as Linear Regression, Decision Trees, K-NN, SVM, and clustering.
The book also explains the mathematical and statistical foundations required for Machine Learning.
It provides an understanding of model training, testing, validation, and performance evaluation.
Different techniques for improving model accuracy and avoiding overfitting are discussed.
The book connects theoretical concepts with practical Machine Learning applications.
Applications may include classification, prediction, recommendation, image processing, and data analysis.
Overall, it serves as a useful foundation for students and beginners who want to understand and apply Machine Learning.
About The Author
Dr. Prachi Chhabra is working as an Assistant Professor in the Department of Information Technology at JSS Academy of Technical Education, Noida. She has received her Ph.D. in Computer Science and Engineering from Sharda University, Noida. She obtained her MTech and B.Tech degrees in Computer Science and Engineering from Kurukshetra University. With over 17 years of academic and research experience, she has established herself as a dedicated educator and researcher. Her research interests include Deep Learning, Computer Vision, and Scene Text Detection and Recognition. She has published numerous research papers in reputed SCI/Scopus-indexed journals and international conferences and has contributed book chapters with renowned publishers such as Springer and CRC Press. She is a lifetime member of the International Association of Engineers (IAENG).
Dr. Ujwala Thakur is an experienced academician with 15+ years of teaching in Computer Science and Engineering.Completed her PhD from JIIT noida,M.Tech from VNIT Nagpur and B.Tech from GEC Raipur(Now NIT Raipur) Currently working as an Associate Professor at Galgotia college of Engineering and Technology, Greater Noida Specialized in Machine Learning, Deep Learning.
Dr. Geeta holds a B.Tech. in Computer Science & Information Technology, M.Tech. in Computer Science & Engineering, and a Ph.D. in Computer Science & Engineering. She qualified the GATE examination in 2008, reflecting her strong academic foundation and technical expertise. She is currently serving as an Assistant Professor at JSS University, Noida, where she is actively involved in teaching, mentoring students, and contributing to academic and research activities in the field of Computer Science. Her areas of interest include computer science education, emerging technologies, and research-driven learning.
Ms. Lopamudra Mohanty is working as an Assistant professor at Galgotias College of Engineering & Technology, Greater Noida, India. She has received an MTech in Information Technology with Information Security as a specialization from IIT, Kharagpur, India. She is working towards a Ph.D. degree in Computer Science Engineering at Bennett University, Gr. Noida, India. Her research interests are in the fields of Medical Image Processing, Artificial Intelligence, Deep Learning, and compression Techniques of AI in edge devices. She has published many research papers in various reputed national and international journals and conferences.
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