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Artificial Intelligence and Machine Learning Algorithms

Artificial Intelligence and Machine Learning Algorithms
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Author(s): Amit Kumar Tyagi (National Institute of Fashion Technology, New Delhi, India)and Poonam Chahal (MRIIRS, Faridabad, India)
Copyright: 2020
Pages: 32
Source title: Challenges and Applications for Implementing Machine Learning in Computer Vision
Source Author(s)/Editor(s): Ramgopal Kashyap (Amity University, Raipur, India)and A.V. Senthil Kumar (Hindusthan College of Arts and Science, India)
DOI: 10.4018/978-1-7998-0182-5.ch008

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Abstract

With the recent development in technologies and integration of millions of internet of things devices, a lot of data is being generated every day (known as Big Data). This is required to improve the growth of several organizations or in applications like e-healthcare, etc. Also, we are entering into an era of smart world, where robotics is going to take place in most of the applications (to solve the world's problems). Implementing robotics in applications like medical, automobile, etc. is an aim/goal of computer vision. Computer vision (CV) is fulfilled by several components like artificial intelligence (AI), machine learning (ML), and deep learning (DL). Here, machine learning and deep learning techniques/algorithms are used to analyze Big Data. Today's various organizations like Google, Facebook, etc. are using ML techniques to search particular data or recommend any post. Hence, the requirement of a computer vision is fulfilled through these three terms: AI, ML, and DL.

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