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MACHINE LEARNING Foundations, Algorithms, and Applications - Softcover

Rewatkar, Rajendra Motiramji; Arjunkar, Mrunal Ramnath; Choudhary, Vijaya

 
9786630120288: MACHINE LEARNING Foundations, Algorithms, and Applications

Inhaltsangabe

This book provides a comprehensive introduction to Machine Learning, covering both fundamental concepts and advanced techniques. It begins with the basics of machine learning, including supervised, unsupervised, and reinforcement learning, followed by the mathematical foundations such as linear algebra, probability, statistics, calculus, and information theory. The book then explores key machine learning algorithms including regression, classification, clustering, ensemble learning, neural networks, deep learning, CNNs, RNNs, transformers, large language models, GANs, diffusion models, reinforcement learning, and graph neural networks.

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Über die Autorin bzw. den Autor

Dr. Rajendra M. Rewatkar,.is an Associate Professor and Vice Dean (Research) in the Faculty of Engineering and Technology, Datta Meghe Institute of Higher Education and Research (DMIHER), Sawangi (Meghe), Wardha, India. He also serves as the Head of the Department and PhD Convener.

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