Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning - Tapa blanda

Jo, Taeho

 
9783030659028: Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning
Tapa blanda
ISBN 10: 303065902X ISBN 13: 9783030659028
Editorial: Springer, 2022

Sinopsis

This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced learning techniques. The book consists of four parts: foundation, supervised learning, unsupervised learning, and advanced learning. The first part provides the fundamental materials, background, and simple machine learning algorithms, as the preparation for studying machine learning algorithms. The second and the third parts provide understanding of the supervised learning algorithms and the unsupervised learning algorithms as the core parts. The last part provides advanced machine learning algorithms: ensemble learning, semi-supervised learning, temporal learning, and reinforced learning.

  • Provides comprehensive coverage of both learning algorithms: supervised and unsupervised learning;
  • Outlines the computation paradigm for solving classification, regression, and clustering;
  • Features essential techniques for building the a new generation of machine learning.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Taeho Jo is the president and the founder of the company, Alpha Lab AI which makes business concerned with Artificial Intelligence. He received his Bachelor, Master, and PhD degrees from Korea University in 1994, from Pohang University in 1997, and from University of Ottawa, 2006, respectively. He has published more than 180 research papers, primarily in text mining, machine learning, neural networks, and information retrieval. He previously published the book “Text Mining: Concept, Implementation, and Big Data Challenge” (Springer 2018).

De la contraportada

<p>This book provides conceptual understanding of machine learning algorithms though supervised, unsupervised, and advanced learning techniques. The book consists of four parts: foundation, supervised learning, unsupervised learning, and advanced learning. The first part provides the fundamental materials, background, and simple machine learning algorithms, as the preparation for studying machine learning algorithms. The second and the third parts provide understanding of the supervised learning algorithms and the unsupervised learning algorithms as the core parts. The last part provides advanced machine learning algorithms: ensemble learning, semi-supervised learning, temporal learning, and reinforced learning.</p><p></p><ul><li>Provides comprehensive coverage of both learning algorithms: supervised and unsupervised learning;</li><li>Outlines the computation paradigm for solving classification, regression, and clustering;</li><li>Features essential techniques for building the a new generation of machine learning.</li></ul><p></p>

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2022
Idioma
Inglés
ISBN 10 
303065902X
ISBN 13 
9783030659028
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
412
Contacto del fabricante
no disponible
Persona responsable
CMN Printpool Inh. Mathis Neumann
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Hamburg
Alemania

Otras ediciones populares con el mismo título

9783030658991: Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning

Edición Destacada

ISBN 10:  3030658996 ISBN 13:  9783030658991
Editorial: Springer, 2021
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