Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning - Taeho Jo - Grāmatas - Springer Nature Switzerland AG - 9783030658991 - 2021. gada 13. februāris
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Taeho Jo
Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning 2021 edition

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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.

391 pages, 140 Tables, color; 13 Illustrations, color; 264 Illustrations, black and white; XX, 391 p

Mediji Grāmatas     Hardcover Book   (Grāmata ar cieto muguriņu un vāku)
Izlaists 2021. gada 13. februāris
ISBN13 9783030658991
Izdevēji Springer Nature Switzerland AG
Lapas 391
Izmēri 162 × 244 × 29 mm   ·   728 g
Valoda Vācu  

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