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portada Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning
Type
Physical Book
Author
Publisher
Language
English
Pages
391
Format
Hardcover
Dimensions
23.4 x 15.6 x 2.4 cm
Weight
0.75 kg.
ISBN13
9783030658991

Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning

Taeho Jo (Author) · Springer · Hardcover

Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning - Jo, Taeho

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Synopsis "Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning"

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.

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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.

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