Design and Implementation of a Machine Learning Platform - 108 Academic Year
本課程是由 國立陽明交通大學資訊工程學系 提供。
Machine learning in the industry is not a research, but an engineering project. A machine learning project is a collaboration between multiple professionals: data scientists and data-engineers. A machine learning system, also known as a machine learning platform or a machine learning infrastructure, is a system that connects different stages of machine learning development cycle: data ingestion, data preparation, feature extraction, model development, model training, model deployment and model serving. It is a generic system that can support a variety of machine learning and data applications. Many big companies build their own machine learning platform, but most of them are composed of the above mentioned stages.
Wei-Chiu is a Tech Lead at Cloudera where he is responsible for the development of Cloudera's distributed storage system, primarily the Hadoop Distributed File System (HDFS) project. He is an active contributor to several open source project, and is currently a member of the Apache Hadoop Project Management Committee and a committer of the Apache Submarine project. He is also a founding member of the Taiwan Data Engineering Association, a non-profit organization promoting better Data Engineering technologies and applications in Taiwan.
Textbook：
莊博士自行準備之教材。
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| Instructor(s) | Purdue University PhD. Wei-Chiu Chuang |
|---|---|
| Course Credits | 0 Credits |
| Academic Year | 108 Academic Year |
| Level | Graduate Student, College Students |
| Prior Knowledge | |
| Related Resources | Course Video Course Syllabus |
| Week | Course Content | Course Video | Course Download |
|---|---|---|---|
| Machine learning project development process | Watch Online | MP4 Download | |
| What is a Machine Learning Platform Open source development | Watch Online | MP4 Download | |
| Data Collection (Data Ingestion, Data Preparation) | Watch Online | MP4 Download | |
| Feature extraction | Watch Online | MP4 Download | |
| Machine resource management | Watch Online | MP4 Download | |
| Machine learning framework Model management | Watch Online | MP4 Download | |
| Model Deployment, Model Serving / inference / monitoring | Watch Online | MP4 Download |
課程目標
Machine learning in the industry is not a research, but an engineering project. A machine learning project is a collaboration between multiple professionals: data scientists and data-engineers. A machine learning system, also known as a machine learning platform or a machine learning infrastructure, is a system that connects different stages of machine learning development cycle: data ingestion, data preparation, feature extraction, model development, model training, model deployment and model serving. It is a generic system that can support a variety of machine learning and data applications. Many big companies build their own machine learning platform, but most of them are composed of the above mentioned stages.
Wei-Chiu is a Tech Lead at Cloudera where he is responsible for the development of Cloudera's distributed storage system, primarily the Hadoop Distributed File System (HDFS) project. He is an active contributor to several open source project, and is currently a member of the Apache Hadoop Project Management Committee and a committer of the Apache Submarine project. He is also a founding member of the Taiwan Data Engineering Association, a non-profit organization promoting better Data Engineering technologies and applications in Taiwan.
課程書目
莊博士自行準備之教材。