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Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches (Artificial Intelligence AI: Elementary to Advanced Practices)

By: K. Gayathri Devi (Edited by) , Mamata Rath (Edited by) , Nguyen Thi Dieu Linh (Edited by)

2 in stock

Ksh 40,550.00

Format: Hardback or Cased Book

ISBN-10: 0367417278

ISBN-13: 9780367417277

Collection / Series: Artificial Intelligence AI: Elementary to Advanced Practices

Collection Type: Publisher collection

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Oct 8th, 2020

Publication Status: Active

Product extent: 250 Pages

Weight: 546.00 grams

Dimensions (height x width x thickness): 16.10 x 24.00 x 2.10 cms

Product Classification / Subject(s): Supercomputers
Databases
Artificial intelligence

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  • Description

  • Reviews

This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems.

Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications today. This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems.

The book focuses on concepts and techniques used to run tasks in an automated manner. It discusses computational intelligence in the detection and diagnosis of clinical and biomedical images, covers the automation of a system through machine learning and deep learning approaches, presents data analytics and mining for decision-support applications, and includes case-based reasoning, natural language processing, computer vision, and AI approaches in real-time applications.

Academic scientists, researchers, and students in the various domains of computer science engineering, electronics and communication engineering, and information technology, as well as industrial engineers, biomedical engineers, and management, will find this book useful. By the end of this book, you will understand the fundamentals of AI. Various case studies will develop your adaptive thinking to solve real-time AI problems.

Features

  • Includes AI-based decision-making approaches
  • Discusses computational intelligence in the detection and diagnosis of clinical and biomedical images
  • Covers automation of systems through machine learning and deep learning approaches and its implications to the real world
  • Presents data analytics and mining for decision-support applications
  • Offers case-based reasoning


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