FEATURE PROJECTION IN MACHINE LEARNING: ARTIFICIAL INTELLIGENCE. This item is unavailable.
Language: English
Published by Independently published, 2021
- Softcover
- New
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Softcover
Condition: New
US$ 16.63
Item description from seller
In English.
Seller Inventory # ria9798505814994_new
- Title
- FEATURE PROJECTION IN MACHINE LEARNING: ARTIFICIAL INTELLIGENCE
- Author
- DURGA AKHIL, KARAKAVALASA; RAO, LANDA TEJESWARA
- Publisher
- Independently published
- Publication year
- 2021
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 13
- 9798505814994
- Item weight
- 251 grams
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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