AI Strategy and Concepts Bibliography

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Du, K. L., & Swamy, M. N. S. (2019). Neural networks and statistical learning. Springer London. 
Added by: SijanLibrarian (2020-07-09 10:25:00)   Last edited by: SijanLibrarian (2020-07-09 10:26:37)
Resource type: Book
ID no. (ISBN etc.): 9781447174523
BibTeX citation key: Du2019
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Categories: Artificial Intelligence, Cognitive Science, Computer Science, Data Sciences, Decision Theory, General, Mathematics
Subcategories: AI transfer learning, Big data, Decision making, Deep learning, Machine intelligence, Machine learning, Markov models, Neural nets, Q-learning
Creators: Du, Swamy
Publisher: Springer London
Views: 51/65
Views index: 15%
Popularity index: 3.75%
Attachments   URLs   https://books.goog ... ks?id=IUmvDwAAQBAJ
Abstract
This book provides a broad yet detailed introduction to neural networks and machine learning in a statistical framework. A single, comprehensive resource for study and further research, it explores the major popular neural network models and statistical learning approaches with examples and exercises and allows readers to gain a practical working understanding of the content. This updated new edition presents recently published results and includes six new chapters that correspond to the recent advances in computational learning theory, sparse coding, deep learning, big data and cloud computing.
  
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