图 书 馆
数据挖掘与机器学习算法Data mining and Machine learning algorithms |
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| 课程网址: | http://videolectures.net/aibootcamp2011_balcazar_dmml/ |
| 主讲教师: | José L. Balcázar |
| 开课单位: | 加泰罗尼亚政治大学 |
| 开课时间: | 2011-03-31 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The purpose of these lectures today is to review a few rather basic Machine Learning algorithms, while trying to see them from a Data Mining perspective. Thus, we will discuss the very notion of modelling, its role within the process of Knowledge Discovery from Data, and some of the particularities of this specific context. We will go through two "descriptive modelling" processes, namely k-means clustering and association rule mining; we will discuss some generalities about "predictive modelling", such as ROC-based evaluation and the bias-variance trade-off, and discuss some specific simple classifiers: naïve Bayes, nearest neighbours, linear classifiers, their extension using kernels, and the Adaboost metapredictor. |
| 关 键 词: | 数据挖掘; 机器学习算法; 线性分类器 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-03：张荧(课程编辑志愿者) |
| 阅读次数: | 108 |