bookApr 1, 2009Closed access

Machine Learning: An Algorithmic Perspective

Abstract

Traditional books on machine learning can be divided into two groups - those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning methods, but also provides the background needed to understand how and why these algorithms work. Machine Learning: An Algorithmic Perspective is that text.Theory Backed up by Practical ExamplesThe book covers neural networks, graphical models, reinforcement le

Citation impact

1,082
total citations
FWCI
7.73
Percentile
100%
References
4
Citations per year

Authors

1

Topics & keywords

Keywords
  • Python (programming language)
  • Computer science
  • Implementation
  • Perspective (graphical)
  • Artificial intelligence
  • Reinforcement learning
  • Dimensionality reduction
  • Theoretical computer science
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