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Feature Projection in Machine Learning Artificial Intelligence - LANDA TEJESWARA. RAO,Karakavalasa Durga Akhil

English
2021-05-17
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Random projection is a well-known AI calculation, which can be executed by neural organizations and trained in an effective way. Adaptive Regularize Parameter Selection it will regularize the features which are important and select a most suitable feature for a specific problem. The main goal is to reduce the computational cost of both classification and regression task by using Randomization Algorithm. It ... Full description

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Description

Random projection is a well-known AI calculation, which can be executed by neural organizations and trained in an effective way. Adaptive Regularize Parameter Selection it will regularize the features which are important and select a most suitable feature for a specific problem. The main goal is to reduce the computational cost of both classification and regression task by using Randomization Algorithm. It provides the best possible result to the high-dimensional optimization. It uses Multi layer neural network for performing linear and non linear function.

More Information

Author LANDA TEJESWARA. RAO, Karakavalasa Durga Akhil
Publisher Independently Published
Release year 2021
Cover type Softcover
EAN 9798505814994
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€15.52 €19.40