9789813271241 medium

Handbook of Machine Learning (eBook)

by (Author)

  • 89,172 Words
  • 328 Pages

This is a comprehensive book on the theories of artificial intelligence with an emphasis on their applications. It combines fuzzy logic and neural networks, as well as hidden Markov models and genetic algorithm, describes advancements and applications of these machine learning techniques and describes the problem of causality. This book should serves as a useful reference for practitioners in artificial intelligence.

Contents:
  • Introduction
  • Multi-layer Perceptron
  • Radial Basis Function
  • Automatic Relevance Determination
  • Bayesian Networks
  • Support Vector Machines
  • Fuzzy Logic
  • Rough Sets
  • Hybrid Machines
  • Auto-associative Networks
  • Evolving Networks
  • Causality
  • Gaussian Mixture Models
  • Hidden Markov Models
  • Reinforcement Learning
  • Conclusion Remarks

Readership: Practitioners in artificial intelligence. Artificial Intelligence;Machine Learning;Computational Intelligence;Neural Networks;Fuzzy Logic0Key Features:
  • Comprehensive coverage of topics in computational intelligence and machine learning
  • It is rich in applications
  • It covers the topic of causality

This is a comprehensive book on the theories of artificial intelligence with an emphasis on their applications. It combines fuzzy logic and neural networks, as well as hidden Markov models and genetic algorithm, describes advancements and applications of these machine learning techniques and describes the problem of causality. This book should serves as a useful reference for practitioners in artificial intelligence.

Contents:
  • Introduction
  • Multi-layer Perceptron
  • Radial Basis Function
  • Automatic Relevance Determination
  • Bayesian Networks
  • Support Vector Machines
  • Fuzzy Logic
  • Rough Sets
  • Hybrid Machines
  • Auto-associative Networks
  • Evolving Networks
  • Causality
  • Gaussian Mixture Models
  • Hidden Markov Models
  • Reinforcement Learning
  • Conclusion Remarks

Readership: Practitioners in artificial intelligence. Artificial Intelligence;Machine Learning;Computational Intelligence;Neural Networks;Fuzzy Logic0Key Features:
  • Comprehensive coverage of topics in computational intelligence and machine learning
  • It is rich in applications
  • It covers the topic of causality


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Handbook of Machine Learning

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by Tshilidzi Marwala

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