Can I read Neural Networks and Statistical Learning on EtoBox?

Neural Networks and Statistical Learning by Ke-Lin Du, M. N. S. Swamy is a nonfiction available to read on EtoBox.

What is Neural Networks and Statistical Learning about?

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; • the Hopfield network; • associative memory models; • clustering models and algorithms; • t he radial basis function network; • recurrent neural networks; • nonnegative matrix factorization; • independent component analysis; •probabilistic and Bayesian networks; and • fuzzy sets and logic. Focusing on the prominent accomplishments and their practical aspects, this book provides academic and technical staff, as well as graduate students and researchers

Who reads Neural Networks and Statistical Learning?

Author

Ke-Lin Du, M. N. S. Swamy

Publisher

Springer London : Imprint: Springer

Published

2019

Language

EN

ISBN

9781447174516

Category

nonfiction

Subjects

Computer Science, Mathematics, Stem