£94.25

Springer - Hidden Markov Models and Applications Book

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Description

Expand your knowledge of machine learning with Hidden Markov Models and Applications (Unsupervised and Semi-Supervised Learning) from Springer. This technical text provides a deep look into the mathematical frameworks and practical implementations of HMMs within the fields of unsupervised and semi-supervised learning. Designed for those studying computer science and internet computing, this book serves as a specialized resource for understanding complex data patterns. Whether you are a student or a professional in the computing field, this publication offers a structured approach to mastering these specific learning methodologies. By adding this Springer title to your collection, you gain access to academic insights focused on advanced computational techniques. It is a valuable addition to any library dedicated to computer science and modern machine learning research.

Key Features

Focuses on unsupervised and semi-supervised learning methodologies for advanced study.

Published by Springer, a recognized name in academic and scientific literature.

Specifically designed for the Computer Science and Computing subjects category.

Provides technical coverage of Hidden Markov Models and their practical applications.

Ideal for researchers and students interested in complex machine learning models.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
20 May 2023
Listed Since
23 April 2023

Barcode

No barcode data available

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