{
"item_title" : "Feature Projection in Machine Learning",
"item_author" : [" Landa Tejeswara Rao", "Karakavalasa Durga Akhil "],
"item_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.",
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Feature Projection in Machine Learning : Artificial Intelligence
Overview
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.
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Details
- ISBN-13: 9798505814994
- ISBN-10: 9798505814994
- Publisher: Independently Published
- Publish Date: May 2021
- Dimensions: 9.02 x 5.98 x 0.18 inches
- Shipping Weight: 0.28 pounds
- Page Count: 88
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