Authors :
RAJA IRFAN AHMAD MIR
Volume/Issue :
Volume 7 - 2022, Issue 6 - June
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3yOfWwZ
DOI :
https://doi.org/10.5281/zenodo.6806709
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.
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.
