图 书 馆
大数据和机器学习的数学Mathematics Of Big Data And Machine Learning |
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| 课程网址: | https://ocw.mit.edu/courses/res-ll-005-mathematics-of-big-data-an... |
| 主讲教师: | Dr. Jeremy Kepner; Dr. Vijay Gadepally |
| 开课单位: | 麻省理工学院 |
| 开课时间: | 2020-01-01 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This course introduces the Dynamic Distributed Dimensional Data Model (D4M), a breakthrough in computer programming that combines graph theory, linear algebra, and databases to address problems associated with Big Data. Search, social media, ad placement, mapping, tracking, spam filtering, fraud detection, wireless communication, drug discovery, and bioinformatics all attempt to find items of interest in vast quantities of data. This course teaches a signal processing approach to these problems by combining linear algebraic graph algorithms, group theory, and database design. This approach has been implemented in software. The class will begin with a number of practical problems, introduce the appropriate theory, and then apply the theory to these problems. Students will apply these ideas in the final project of their choosing. The course will contain a number of smaller assignments which will prepare the students with appropriate software infrastructure for completing their final projects. |
| 关 键 词: | 机器学习; 动态分布式; 计算机编程 |
| 课程来源: | 麻省理工学院公开课 |
| 数据采集: | 2024-01-31：chenjy |
| 最后编审: | 2024-01-31：chenjy |
| 阅读次数: | 16 |