
Fundamentals and Methods of Machine and Deep Learning
Algorithms, Tools, and Applications
Pradeep Singh(Author)
Wiley (Publisher)
1st Edition
Published on 11. May 2022
Book
Hardback
480 pages
978-1-119-82125-0 (ISBN)
Description
Machine learning is regarded to be one of the disruptive technologies that is transforming our life, business, and the global economy. Machine learning and deep learning are the most used, experimented, and researched areas by scientists and engineers of different domains who want to exploit the techniques such as predictive analysis, classification, clustering, image processing, and natural language processing.
This book follows a practical approach by explaining the concepts of machine learning and deep learning algorithms with applications. It also provides case studies illustrating the applications of machine learning and deep learning in different domains which include disease prediction, software defect prediction, online television analysis, medical image processing, etc.
This book follows a practical approach by explaining the concepts of machine learning and deep learning algorithms with applications. It also provides case studies illustrating the applications of machine learning and deep learning in different domains which include disease prediction, software defect prediction, online television analysis, medical image processing, etc.
More details
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Dimensions
Height: 10 mm
Width: 10 mm
Thickness: 10 mm
Weight
454 gr
ISBN-13
978-1-119-82125-0 (9781119821250)
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Schweitzer Classification
Other editions
Additional editions

Pradeep Singh
Fundamentals and Methods of Machine and Deep Learning
Algorithms, Tools, and Applications
E-Book
02/2022
1st Edition
Wiley
€200.99
Available for download

Pradeep Singh
Fundamentals and Methods of Machine and Deep Learning
Algorithms, Tools, and Applications
E-Book
01/2022
1st Edition
Wiley
€190.99
Available for download
Person
Pradeep Singh PhD, is an assistant orofessor in the Department of Computer Science Engineering, National Institute of Technology Raipur. His current research interests include machine learning, deep learning, evolutionary computing, empirical studies on software quality, and software fault prediction models.