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Machine Learning: Theory, Practice, and Advancement

  • 2024-07-12
  • 34.98MB
  • Points it Requires : 2

This book is a reference book on machine learning theory and algorithms. Starting from the basic theories of supervised learning and semi-supervised learning, it uses the simple and popular C language to gradually introduce common and advanced theoretical concepts, algorithms and practical cases, and presents the corresponding classic algorithms and programming points to meet the fundamental needs of readers who want to understand the operating mode of machine learning.

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