Empirical Methods for Artificial Intelligence
Author | : Paul R. Cohen |
Publisher | : Bradford Books |
Total Pages | : 405 |
Release | : 1995 |
ISBN-10 | : 0262032252 |
ISBN-13 | : 9780262032254 |
Rating | : 4/5 (52 Downloads) |
Book Synopsis Empirical Methods for Artificial Intelligence by : Paul R. Cohen
Download or read book Empirical Methods for Artificial Intelligence written by Paul R. Cohen and published by Bradford Books. This book was released on 1995 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents empirical methods for studying complex computer programs: exploratory tools to help find patterns in data, experiment designs and hypothesis-testing tools to help data speak convincingly, and modeling tools to help explain data.