Machine Learning: Theory and Practice


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Machine Learning: Theory and Practice

Machine Learning: Theory and Practice

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Machine Learning: Theory and Practice

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Description

Machine Learning: Theory and Practice

This book provides an introduction to the most popular methods in machine learning. It covers regression including regularization tree-based methods including Random Forests and Boosted Trees Artificial Neural Networks including CNNs reinforcement learning and unsupervised learning focused on clustering.
  • Brand: Taylor & Francis Ltd
  • Category: Computing & Internet
  • Format: Hardback
  • Language: English
  • Publication Date: 2022-12-23
  • Publisher / Label: Taylor & Francis Ltd
  • Author: Jugal Kalita (University of Colorado)
  • Number of Pages: 282
  • Fruugo ID: 344373919-754013083
  • ISBN: 9780367433543

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