The present chapter introduces the road map of the book to the readers. It discusses the introduction to artificial intelligence and its classificationClassification. Differences between machine learningMachine Learning (ML) and deep learningDeep Learning (DL) are also addressed. Also, some of the algorithmsAlgorithms that fall under these techniques were presented. In addition, related terminology is provided to help the readers beforehand. Representative applications of artificial intelligence are also part of this chapter. A detailed analysis of ScopusScopus, which is utilized for abstract and citation databasesDatabase, is also included. Lastly, a description of the chapterwise organization of the book is presented. The reader is expected to capture the roadmap of the book after going through the chapter.

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Introduction

  • Komaragiri Srinivasa Raju,
  • Dasika Nagesh Kumar

摘要

The present chapter introduces the road map of the book to the readers. It discusses the introduction to artificial intelligence and its classificationClassification. Differences between machine learningMachine Learning (ML) and deep learningDeep Learning (DL) are also addressed. Also, some of the algorithmsAlgorithms that fall under these techniques were presented. In addition, related terminology is provided to help the readers beforehand. Representative applications of artificial intelligence are also part of this chapter. A detailed analysis of ScopusScopus, which is utilized for abstract and citation databasesDatabase, is also included. Lastly, a description of the chapterwise organization of the book is presented. The reader is expected to capture the roadmap of the book after going through the chapter.