MDP - 用于数据处理的模块化工具包MDP – Modular toolkit for Data Processing |
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课程网址: | http://videolectures.net/mloss08_zito_mdp/ |
主讲教师: | Tiziano Zito |
开课单位: | 柏林洪堡大学 |
开课时间: | 2008-12-20 |
课程语种: | 英语 |
中文简介: | 用于数据处理的模块化工具包(MDP)是一种Python数据处理框架。从用户的角度来看,MDP是一组受监督和无监督的学习算法和其他数据处理单元,可以组合成数据处理序列和更复杂的前馈网络架构。从科学开发人员的角度来看,MDP是一个模块化框架,可以轻松扩展。新算法的实现简单直观。然后,新实现的单元将自动与库的其余部分集成。可用算法的基础稳步增加,包括,但最常见的主成分分析(PCA和NIPALS),几个独立分量分析算法(CuBICA,FastICA,TDSEP和JADE),慢特征分析,高斯分类,受限制的玻尔兹曼机器和局部线性嵌入。 |
课程简介: | Modular toolkit for Data Processing (MDP) is a Python data processing framework. From the user’s per- spective, MDP is a collection of supervised and unsupervised learning algorithms and other data processing units that can be combined into data processing sequences and more complex feed-forward network archi- tectures. From the scientific developer’s perspective, MDP is a modular framework, which can easily be expanded. The implementation of new algorithms is easy and intuitive. The new implemented units are then automatically integrated with the rest of the library. The base of available algorithms is steadily in- creasing and includes, to name but the most common, Principal Component Analysis (PCA and NIPALS), several Independent Component Analysis algorithms (CuBICA, FastICA, TDSEP, and JADE), Slow Feature Analysis, Gaussian Classifiers, Restricted Boltzmann Machine, and Locally Linear Embedding. |
关 键 词: | 数据处理; 模块化工具; 数据处理序列 |
课程来源: | 视频讲座网 |
最后编审: | 2019-07-02:cwx |
阅读次数: | 115 |