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Natural Computing: Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence (Hardcover)
This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. It examines how a search technique, the genetic algorithm, can be used for pattern classification mainly through approximating decision boundaries. Coverage also demonstrates the effectiveness of the genetic classifiers vis-\\u0026agrave;-vis several widely used classifiers, including neural networks. Natural Computing: Classification and Learning Using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence (Hardcover)
DAX Patterns: Second Edition
| Author: Marco Russo, Alberto Ferrari | Publisher: SQLBI Corp. | Publication Date: Aug 10, 2020 | Number of Pages: 418 pages | Language: English | Binding: Paperback | ISBN-10: 1735365203 | ISBN-13: 9781735365206
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A good first step to solving big data problems is to classify the problem according to the format of the data that must be processed, the type of analysis, the processing techniques, and the sources for the data the target system will manipulate.
