图 书 馆
数据分析、信号处理和机器学习中的矩阵方法Matrix Methods in Data Analysis, Signal Processing, and Machine Learning |
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| 课程网址: | https://ocw.mit.edu/courses/mathematics/18-065-matrix-methods-in-... |
| 主讲教师: | Prof. Gilbert Strang |
| 开课单位: | 麻省理工学院 |
| 开课时间: | 2018-03-01 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Linear algebra concepts are key for understanding and creating machine learning algorithms, especially as applied to deep learning and neural networks. This course reviews linear algebra with applications to probability and statistics and optimization–and above all a full explanation of deep learning. |
| 关 键 词: | 线性代数; 机器学习算法; 神经网络 |
| 课程来源: | 麻省理工学院公开课 |
| 数据采集: | 2021-09-25：nkq |
| 最后编审: | 2021-09-25：nkq |
| 阅读次数: | 100 |