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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning

Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning

Jo, Taeho

Hardcover

Technology & EngineeringDatabases

ISBN10: 3030658996
ISBN13: 9783030658991
Publisher: Springer Nature
Published: Feb 13 2021
Pages: 391
Weight: 1.66
Height: 0.94 Width: 6.14 Depth: 9.21
Language: English

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.

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