Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools, and Applications

Singh, Pradeep

  • 出版商: Wiley
  • 出版日期: 2022-03-02
  • 售價: $7,950
  • 貴賓價: 9.5$7,553
  • 語言: 英文
  • 頁數: 480
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1119821258
  • ISBN-13: 9781119821250
  • 相關分類: DeepLearningAlgorithms-data-structures
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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.

作者簡介

Pradeep Singh PhD, is an assistant professor in the Department of Computer Science Engineering, National Institute of Technology, Raipur, India. His current research interests include machine learning, deep learning, evolutionary computing, empirical studies on software quality, and software fault prediction models. He has more than 15 years of teaching experience with many publications in reputed international journals, conferences, and book chapters.