Applied Deep Learning | Tools, Techniques, and Implementation

Paul Fergus (u. a.)

ISBN 10: 3031044193 / ISBN 13: 9783031044199

Published by Springer, 2022

Applied Deep Learning | Tools, Techniques, and Implementation | Paul Fergus (u. a.) | Buch | Computational Intelligence Methods and Applications | xxvii | Englisch | 2022 | Springer | EAN 9783031044199 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Seller Inventory # 121358344

Synopsis:

This book focuses on the applied aspects of artificial intelligence using enterprise frameworks and technologies. The book is applied in nature and will equip the reader with the necessary skills and understanding for delivering enterprise ML technologies. It will be valuable for undergraduate and postgraduate students in subjects such as artificial intelligence and data science, and also for industrial practitioners engaged with data analytics and machine learning tasks. The book covers all of the key conceptual aspects of the field and provides a foundation for all interested parties to develop their own artificial intelligence applications.

About the Author:

Prof. Paul Fergus is a Professor in Machine Learning and Dr. Carl Chambers is a Senior Lecturer in the Dept. of Computer Science of Liverpool John Moores University. Their teaching responsibilities include Machine Learning and Data Science. Their research interest includes Applied Machine Learning, Computer Vision, Signal Processing, and Pattern Recognition.

Bibliographic Details

Title: Applied Deep Learning | Tools, Techniques, ...
Publisher: Springer
Publication Date: 2022
Binding: Buch
Condition: Neu