Neural Networks and Statistical Learning 2019 Edition Contributor(s): Du, Ke-Lin (Author), Swamy, M. N. S. (Author) |
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ISBN: 1447174542 ISBN-13: 9781447174547 Publisher: Springer OUR PRICE: $104.49 Product Type: Paperback - Other Formats Published: September 2020 |
Additional Information |
BISAC Categories: - Mathematics | Applied - Computers | Databases - Data Mining - Computers | Computer Vision & Pattern Recognition |
Dewey: 006.3 |
Physical Information: 2" H x 6.14" W x 9.21" (3.08 lbs) 988 pages |
Descriptions, Reviews, Etc. |
Publisher Description: 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. Each chapter features state-of-the-art descriptions and significant research findings. The topics covered include: - multilayer perceptron; Focusing on the prominent accomplishments and their practical aspects, this book provides academic and technical staff, as well as graduate students and researchers with a solid foundation and comprehensive reference on the fields of neural networks, pattern recognition, signal processing, and machine learning. |