Name: Machine Learning Methods [Hardcover ] (en Inglés)
Price: 114.52 USD
Availability: InStock
Author: Li Hang
ISBN: 9789819939169

portada Machine Learning Methods [Hardcover ] (en Inglés)

Machine Learning Methods [Hardcover ] (en Inglés)

Formato

Libro Físico

Editorial

Springer Verlag Gmbh

Autor

Li Hang

Idioma

Inglés

Encuadernación

Tapa Dura

ISBN13

9789819939169

Machine Learning Methods [Hardcover ] (en Inglés)

Li Hang (Autor) · Springer Verlag Gmbh · Tapa Dura

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Reseña del libro "Machine Learning Methods [Hardcover ] (en Inglés)"

This book provides a comprehensive and systematic introduction to the principal machine learning methods, covering both supervised and unsupervised learning methods. It discusses essential methods of classification and regression in supervised learning, such as decision trees, perceptrons, support vector machines, maximum entropy models, logistic regression models and multiclass classification, as well as methods applied in supervised learning, like the hidden Markov model and conditional random fields. In the context of unsupervised learning, it examines clustering and other problems as well as methods such as singular value decomposition, principal component analysis and latent semantic analysis. As a fundamental book on machine learning, it addresses the needs of researchers and students who apply machine learning as an important tool in their research, especially those in fields such as information retrieval, natural language processing and text data mining. In order to understand the concepts and methods discussed, readers are expected to have an elementary knowledge of advanced mathematics, linear algebra and probability statistics. The detailed explanations of basic principles, underlying concepts and algorithms enable readers to grasp basic techniques, while the rigorous mathematical derivations and specific examples included offer valuable insights into machine learning.