图 书 馆
大规模的机器学习：问题，运算法则和挑战Large-Scale Machine Learning: The Problems, Algorithms, and Challenges |
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| 课程网址: | http://videolectures.net/nipsworkshops09_gray_lsml/ |
| 主讲教师: | Alex Gray |
| 开课单位: | 乔治亚理工学院 |
| 开课时间: | 2010-01-19 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | To seed discussion, I will attempt to organize research efforts in large-scale machine learning by looking at common computational problems across all of machine learning, and the challenges of creating efficient parallel algorithms for them. I'll begin by identifying four common types of computational bottlenecks that occur across all of machine learning, or prototype algorithmic problems: N-body problems, graph operations, linear algebra, and optimization. Within each category, I'll discuss what we can or cannot learn from the existing body of work in scientific computing, highlight a few of the most successful and recent specific serial algorithms that have been developed for concreteness, and discuss what makes them easy or hard to parallelize. I'll synthesize some of these observations to obtain a list of desiderata for parallel machine learning algorithms research and software toolkits. |
| 关 键 词: | 机器学习; N体问题; 图的运算; 线性代数; 和优化 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-02：毛岱琦(课程编辑志愿者) |
| 阅读次数: | 35 |