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612-822-4611
MACHINE LEARNING Foundations, Algorithms, and Applications

MACHINE LEARNING Foundations, Algorithms, and Applications

Paperback

Business General

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ISBN10: 6630120280
ISBN13: 9786630120288
Publisher: LAP Lambert Academic Publishing
Pages: 152
Weight: 0.47
Height: 0.35 Width: 6.00 Depth: 9.00
Language: English
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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