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Publication: IIP Proceedings Year: 2022, Month: November Page No: 69-76, ISSN/ISBN: 978-93-95632-72-0, DOI/Link: https://rsquarel.org/assets/docupload/rsl202350DC86935804BF5.pdf
MACHINE LEARNING & DEEP LEARNING APPLICATIONS
Area/Stream: Information Technology, Authors: Omprakash Dewangan,Proshanta Sarkar Keywords: Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL). Book Name /series: Futuristic Trends in Information Technology,Volume 2, Book 20, Part 1, Chapter 4Publication: IIP Proceedings Year: 2022, Month: November Page No: 69-76, ISSN/ISBN: 978-93-95632-72-0, DOI/Link: https://rsquarel.org/assets/docupload/rsl202350DC86935804BF5.pdf
Abstract:
The intelligent construction robots similar to the human brain are known as artificial intelligence (AI In computer engineering, artificial intelligence (AI) is the learning of Expert Systems, these are machines that are aware of their environment and take action to improve their chances of success. Artificial Intelligence is a term used to describe a system that is capable of performing tasks that people associate with further human brains, such as problem solving and learning. Machines must be capable of learning. Therefore machine learning (ML) is a subset of Artificial Intelligent (AI). As a result, the expectations of the machines increase. This strategy is demonstrated through deep learning. It includes the subfield of machine learning.
Cite this: Omprakash Dewangan,Proshanta Sarkar,"MACHINE LEARNING & DEEP LEARNING APPLICATIONS", Futuristic Trends in Information Technology,Volume 2, Book 20, Part 1, Chapter 4, November, 2022, 69-76, 978-93-95632-72-0, https://rsquarel.org/assets/docupload/rsl202350DC86935804BF5.pdf
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