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portada MACHINE LEARNING Foundations, Algorithms, and Applications
Type
Physical Book
Publisher
Author
Language
English
Pages
152
Format
Paperback
ISBN13
9786630120288

MACHINE LEARNING Foundations, Algorithms, and Applications

Rewatkar, Rajendra Motiramji;;;Arjunkar, Mrunal Ramnath;Choudhary, Vijaya (Author) · LAP Lambert Academic Publishing · Paperback

MACHINE LEARNING Foundations, Algorithms, and Applications - Rewatkar, Rajendra Motiramji;;;Arjunkar, Mrunal Ramnath;Choudhary, Vijaya

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Synopsis "MACHINE LEARNING Foundations, Algorithms, and Applications"

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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The book is written in English.

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The binding of this edition is Paperback.

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