Deep learning: (Record no. 6124)

MARC details
000 -LEADER
fixed length control field 02808nam a22002057a 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781119845010
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number Ref 006.31 T81d 2023
100 ## - MAIN ENTRY--AUTHOR NAME
Relator code author.
Personal name Tuffery, Stephane.
245 ## - TITLE STATEMENT
Title Deep learning:
Remainder of title from big data to artificial intelligence with R /
Statement of responsibility, etc by Stephane Tuffery.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication West Sussex, UK :
Name of publisher John Wiley & Sons Ltd,
Year of publication c2023.
300 ## - PHYSICAL DESCRIPTION
Number of Pages xix, 519 pages :
Other physical details b&w figs. ;
Dimensions 25 cm.
500 ## - GENERAL NOTE
General note Includes bibliographical references and index.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Contents:<br/>1 From Big Data to Deep Learning 1. -- <br/>2 Processing of Large Volumes of Data 49. -- <br/>3 Reminders of Machine Learning 71. -- <br/>4 Natural Language Processing 111. -- <br/>5 Social Network Analysis 187. -- <br/>6 Handwriting Recognition 237. -- <br/>7 Deep Learning 269. -- <br/>8 Deep Learning for Computer Vision 347. -- <br/>9 Deep Learning for Natural Language Processing 433.<br/><br/><br/><br/><br/><br/><br/><br/><br/><br/><br/>
520 ## - SUMMARY, ETC.
Summary, etc "In Deep Learning: From Big Data to Artificial Intelligence with R, expert researcher Dr. Stéphane Tufféry delivers an insightful discussion of the applications of deep learning and big data that focuses on practical instructions on various software tools and deep learning methods relying on three major libraries: MXNet, PyTorch, and Keras-TensorFlow. In the book, numerous, up-to-date examples are combined with key topics relevant to modern data scientists, including processing optimization, neural network applications, natural language processing, and image recognition.<br/><br/>This is a thoroughly revised and updated edition of a book originally released in French, with new examples and methods included throughout. Classroom-tested and intuitively organized, Deep Learning: From Big Data to Artificial Intelligence with R offers complimentary access to a companion website that provides R and Python source code for the examples offered in the book. Readers will also find:<br/><br/>-A thorough introduction to practical deep learning techniques with explanations and examples for various programming libraries.<br/>-Comprehensive explorations of a variety of applications for deep learning, including image recognition and natural language processing.<br/>-Discussions of the theory of deep learning, neural networks, and artificial intelligence linked to concrete techniques and strategies commonly used to solve real-world problems.<br/><br/>Perfect for graduate students studying data science, big data, deep learning, and artificial intelligence, Deep Learning: From Big Data to Artificial Intelligence with R will also earn a place in the libraries of data science researchers and practicing data scientists."-- Provided by publisher.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Deep learning (Machine learning).
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Big data.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Natural language processing (Computer science).
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Collection code Home library Current library Shelving location Date acquired Source of acquisition Full call number Accession Number Koha item type
    Reference ASCOT Library - Zabali Campus ASCOT Library - Zabali Campus Reference 03/09/2026 Regular Fund Ref 006.31 T81d 2023 Ref0063105045 Books