AI Bibliography
AI Bibliography |
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Du, K. L., & Swamy, M. N. S. (2019). Neural networks and statistical learning. Springer London. |
| Resource type: Book ID no. (ISBN etc.): 9781447174523 BibTeX citation key: Du2019 View all bibliographic details  |
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 Collection: |
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| Abstract |
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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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