Publication Date: 2022/07/07
Abstract: In today present world lots of microelectronicstatistics is created in apiece and every field. The data that we obtain contains valuableinfo to forecast the future. Owing to the enormous in magnitude, the physical forecasting gives aintricatechore to humans. To overwhelm this problem, the data model is made in such a way so that it can predict the future by the situation with the aid of training data and test datasets. To Pullman the machine or the data model, numeroustypes of machine learningalgorithms (ML) and tools are available. This paper willemphasis on the review of the few machine learning algorithms(ML) and methods used in numerous applications and domains in a detailed manner.
Keywords: Artificial Intelligence (AI), Machine Learning (ML), Algorithms, Neural Networks (NN), Least Square Method.
DOI: https://doi.org/10.5281/zenodo.6806709
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT22JUN901_(1).pdf
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