图 书 馆
工业机器学习Industrial Machine Learning |
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| 课程网址: | http://videolectures.net/kdd2017_bloom_industrial_machine_learnin... |
| 主讲教师: | Joshua Bloom |
| 开课单位: | 加州大学伯克利分校天文系 |
| 开课时间: | 2017-10-09 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | The ongoing digitization of the industrial-scale machines that power and enable human activity is itself a major global transformation. But the real revolution-in efficiencies, in improved and saved lives-will happen as machine learning automation and insights are properly coupled to the complex systems of industrial data. Leveraging a systems view of real-world use cases from aviation to transportation, I contrast the needs and approaches of consumer versus industrial machine learning. Particularly, I focus on three key areas: combining physics-based models to data-driven models, differential privacy and secure ML (including edge-to-cloud strategies), and interpretability of model predictions. |
| 关 键 词: | 工业机器; 机器学习; 工业数据; 系统视图 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2023-04-20：chenxin01 |
| 最后编审: | 2023-05-18：chenxin01 |
| 阅读次数: | 44 |