Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers
Overview & Synopsis
Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models. This book explores the major topics of machine learning, including knowledge discovery, classifications, genetic algorithms, neural networking, kernel methods, and biologically-inspired techniques.
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Document Information
| Document Title | Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers |
|---|---|
| Author / Organization | Mariette Awad, Rahul Khanna |
| Subject & Discipline | Machine Learning, Neural Networks and Deep Learning, Artificial Intelligence, Data Analysis and Data Mining |
| Categories | Machine Learning |
| ISBN | 1430259892 |
| License / Rights | Creative Commons License (CC) |
| Resource Verification | Access Restricted / Protected Host |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-11255 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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