Deep Learning in Data Analytics
  • Release Date : 21 September 2021
  • Publisher : Springer
  • Genre : Technology & Engineering
  • Pages : 266 pages
  • ISBN 13 : 3030758540
Ratings: 4
From 235 Voters
Get This Book

Download or read book entitled Deep Learning in Data Analytics by author: Debi Prasanna Acharjya which was release on 21 September 2021 and published by Springer with total page 266 pages . This book available in PDF, EPUB and Kindle Format. This book comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various deep learning applications. The book discusses significant issues relating to deep learning in data analytics. Further in-depth reading can be done from the detailed bibliography presented at the end of each chapter. Besides, this book's material includes concepts, algorithms, figures, graphs, and tables in guiding researchers through deep learning in data science and its applications for society. Deep learning approaches prevent loss of information and hence enhance the performance of data analysis and learning techniques. It brings up many research issues in the industry and research community to capture and access data effectively. The book provides the conceptual basis of deep learning required to achieve in-depth knowledge in computer and data science. It has been done to make the book more flexible and to stimulate further interest in topics. All these help researchers motivate towards learning and implementing the concepts in real-life applications.