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Publication: IIP Proceedings Year: 2022, Month: November Page No: 50-59, ISSN/ISBN: 978-93-95632-81-2, DOI/Link: https://rsquarel.org/assets/docupload/rsl20231C113D07752DDC7.pdf
MACHINE LEARNING AND DEEP LEARNING WITH AI
Area/Stream: Artificial Intelligence, Authors: Radhika Sreedharan, Galiveeti Poornima Keywords: Machine learning Book Name /series: Futuristic Trends in Artificial Intelligence, Volume 2, Book 17, Part 1, Chapter 6Publication: IIP Proceedings Year: 2022, Month: November Page No: 50-59, ISSN/ISBN: 978-93-95632-81-2, DOI/Link: https://rsquarel.org/assets/docupload/rsl20231C113D07752DDC7.pdf
Abstract:
Machine learning entails compatible means which authorizes computers to learn through practice, example and similarity. Artificial neural networks and genetic algorithms are the most common procedures for machine learning. Machine learning can be used in various applications like sentiment analysis, recommendation systems, voice assistants, business, scientific domain etc. Deep learning can be utilized in robotics control, bio-informatics, autonomous navigation, speech recognition. Symbolic reasoning, links patterned on the nerve cells of brain, evolutionary algorithms which evaluate changes, Bayesian inference and systems that learn by analogy are the main approaches of AI learning. The main aim of this paper is to mention about role of Machine Learning and Deep Learning in Artificial Intelligence
Cite this: Radhika Sreedharan, Galiveeti Poornima ,"MACHINE LEARNING AND DEEP LEARNING WITH AI", Futuristic Trends in Artificial Intelligence, Volume 2, Book 17, Part 1, Chapter 6, November, 2022, 50-59, 978-93-95632-81-2, https://rsquarel.org/assets/docupload/rsl20231C113D07752DDC7.pdf
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