Téléchargez le livre : Fundamentals and Methods of Machine and Deep Learning

Fundamentals and Methods of Machine and Deep Learning

Algorithms, Tools, and Applications

de

Éditeur :

Wiley-Scrivener


Paru le : 2022-02-01



eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
223,61 €
Téléchargement immédiat
Dès validation de votre commande
Ajouter à ma liste d'envies
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

badge apple Application Louise Reader
badge Android Application Louise Reader
Description
FUNDAMENTALS AND METHODS OF MACHINE AND DEEP LEARNING
The book provides a practical approach by explaining the concepts of machine learning and deep learning algorithms, evaluation of methodology advances, and algorithm demonstrations with applications.
Over the past two decades, the field of machine learning and its subfield deep learning have played a main role in software applications development. Also, in recent research studies, they are regarded as one of the disruptive technologies that will transform our future life, business, and the global economy. The recent explosion of digital data in a wide variety of domains, including science, engineering, Internet of Things, biomedical, healthcare, and many business sectors, has declared the era of big data, which cannot be analysed by classical statistics but by the more modern, robust machine learning and deep learning techniques. Since machine learning learns from data rather than by programming hard-coded decision rules, an attempt is being made to use machine learning to make computers that are able to solve problems like human experts in the field.
The goal of this book is to present a??practical approach by explaining the concepts of machine learning and deep learning algorithms with applications. Supervised machine learning algorithms, ensemble machine learning algorithms, feature selection, deep learning techniques, and their applications are discussed. Also included in the eighteen chapters is unique information which provides a clear understanding of concepts by using algorithms and case studies illustrated with applications of machine learning and deep learning in different domains, including disease prediction, software defect prediction, online television analysis, medical image processing, etc. Each of the chapters briefly described below provides both a chosen approach and its implementation.
Audience
Researchers and engineers in artificial intelligence, computer scientists as well as software developers.
Pages
480 pages
Collection
n.c
Parution
2022-02-01
Marque
Wiley-Scrivener
EAN papier
9781119821250
EAN PDF
9781119821892
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
480
Taille du fichier
21504 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
223,61 €
EAN EPUB
9781119821885
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
480
Taille du fichier
8581 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
223,61 €

Suggestions personnalisées