Deep learning from big data to artificial intelligence with R / Stéphane Tufféry.

Author/creator Tuffery, Stéphane
Other author John Wiley & Sons.
Format Electronic
Publication InfoHoboken : Wiley, 2023.
Description1 online resource
Supplemental ContentFull text available from IEEE Xplore Wiley Data and Cybersecurity eBooks Library
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects
Deep learning (Machine learning).
Big data--Statistical methods.
R (Computer program language).

Abstract "Deep learning is a class of machine learning algorithms that uses multiple layers to progressively extract higher-level features from the raw input. Deep-learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and convolutional neural networks have been applied to fields including computer vision, machine vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics, drug design, medical image analysis, material inspection and board game programs, where they have produced results comparable to and in some cases surpassing human expert performance. Deep learning is at the heart of artificial intelligence and achievements and errors in the field are driving a great and constant interest"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record and CIP data provided by publisher; resource not viewed.
Issued in other formPrint version: Tuffery, Stéphane. Deep learning Hoboken : Wiley, 2023 9781119845010
Genre/formElectronic books.
LCCN 2022049573
ISBN9781119845034 (epub)
ISBN9781119845027 (adobe pdf)
ISBN(hardback)