International Journal of Chemical Studies
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P-ISSN: 2349-8528, E-ISSN: 2321-4902   |   Impact Factor: GIF: 0.565

Vol. 9, Issue 6 (2021)

Efficaciousness of A.I and M.L of biomarkers in brain


Author(s): Dr. A Mohamed Sikkander, Sangeeta R Mishra and Khadeeja Yasmeen

Abstract: Machine learning is a subordinate field of artificial intelligence, which allows machines to be driven by data or experiences from previous periods without being explicitly programmed. Artificial intelligence is a technology through which we can create intelligent systems that can evoke human intelligence.
The artificial intelligence system does not have to be pre-programmed; instead, they use algorithms that can work with their own intelligence. It involves machine learning algorithms, such as basic learning algorithms and deep learning neural networks. Machine learning allows a computer system to make predictions or make some decisions using historical data that is not explicitly programmed. It involves machine learning algorithms, such as basic learning algorithms and deep learning neural networks. Machine learning allows a computer system to make predictions or make some decisions using historical data that is not explicitly programmed. Machine learning uses a considerable amount of structured and semi-structured data, so that a machine learning model can generate accurate results or provide predictions based on this data.


Pages: 09-17  |  777 Views  160 Downloads

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How to cite this article:
Dr. A Mohamed Sikkander, Sangeeta R Mishra, Khadeeja Yasmeen. Efficaciousness of A.I and M.L of biomarkers in brain . Int J Chem Stud 2021;9(6):09-17.
 

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