02.09.2022 Aufrufe

[EPUB] DOWNLOAD Neural Networks and Statistical Learning

COPY LINK DOWNLOAD: https://isbooktoday.com/freedom/1447174518 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 pract

COPY LINK DOWNLOAD: https://isbooktoday.com/freedom/1447174518

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 pract

MEHR ANZEIGEN
WENIGER ANZEIGEN

Sie wollen auch ein ePaper? Erhöhen Sie die Reichweite Ihrer Titel.

YUMPU macht aus Druck-PDFs automatisch weboptimierte ePaper, die Google liebt.


Neural Networks and Statistical Learning

Tag Book: pdf,download,epub,kindle,ebook,audiobook

LINK IN DESCRIPTION,COPY FOR DOWNLOAD THIS BOOK

example link

https://isbooktoday.com/freedom/B07XZJVJ4G

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 includesixnew chapters that

correspond to the recent advances in computational learning theory,parsecoding, deep learning,

big data and cloud computing.Each chapter features state-of-the-art descriptions and significant

research findings. The topics covered include:&#8226multilayer perceptron&#8226the Hopfield

network&#8226associative memory models&#8226clustering models and algorithms&#8226t he

radial basis function network&#8226recurrent neural networks&#8226nonnegative matrix

factorization&#8226independent component analysis&#8226prbabilistic and Bayesian networks

and&#8226fuzzy 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 with a solid foundation and comprehensive reference on the fields of neural networks,

pattern recognition, signal processing, and machine learning.

Hurra! Ihre Datei wurde hochgeladen und ist bereit für die Veröffentlichung.

Erfolgreich gespeichert!

Leider ist etwas schief gelaufen!