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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.

Availability

Inventory Code	Barcode	Call Number	Location	Status
1908000963	EB0001559	006.31 Jot m	Central Library (OPAC)	Available

Detail Information

Series Title: -
Call Number: 006.31 Jot m
Publisher: Switzerland : Springer Cham., 2021
Collation: XX, 391p.:Ill
Language: English
ISBN/ISSN: 978-3-030-65900-4
Classification: 006.31
Content Type: Ebook
Media Type: -
Carrier Type: online resource
Edition: 1
Subject(s): Machine Learning
Specific Detail Info: -
Statement of Responsibility: BRF

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