| 书目名称 | From Curve Fitting to Machine Learning |
| 副标题 | An Illustrative Guid |
| 编辑 | Achim Zielesny |
| 视频video | |
| 概述 | Serves as introduction to curve fitting, clustering.and machine learning along with topics like mathematical optimization or.evolutionary algorithms.Outlines all concepts and ideas in a clear cut mann |
| 丛书名称 | Intelligent Systems Reference Library |
| 图书封面 |  |
| 描述 | This successful book provides in its second edition an interactive and illustrative guide from two-dimensional curve fitting to multidimensional clustering and machine learning with neural networks or support vector machines. Along the way topics like mathematical optimization or evolutionary algorithms are touched. All concepts and ideas are outlined in a clear cut manner with graphically depicted plausibility arguments and a little elementary mathematics..The major topics are extensively outlined with exploratory examples and applications. The primary goal is to be as illustrative as possible without hiding problems and pitfalls but to address them. The character of an illustrative cookbook is complemented with specific sections that address more fundamental questions like the relation between machine learning and human intelligence..All topics are completely demonstrated with the computing platform Mathematica and the Computational Intelligence Packages(CIP), a high-level function library developed with Mathematica‘s programming language on top of Mathematica‘s algorithms. CIP is open-source and the detailed code used throughout the book is freely accessible..The target readersh |
| 出版日期 | Book 2016Latest edition |
| 关键词 | Computational Intelligence; Machine Learning; Data Analysis; Mathematical Optimization; Evolutionary Alg |
| 版次 | 2 |
| doi | https://doi.org/10.1007/978-3-319-32545-3 |
| isbn_softcover | 978-3-319-81313-4 |
| isbn_ebook | 978-3-319-32545-3Series ISSN 1868-4394 Series E-ISSN 1868-4408 |
| issn_series | 1868-4394 |
| copyright | Springer International Publishing Switzerland 2016 |
发表于 2025-3-21 18:26:12
