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.
課程用書:
莊博士自行準備之教材。
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授課教師 | 莊偉赳博士 |
---|---|
課程學分 | 0學分 |
授課年度 | 108學年度 |
授課對象 | 大學生、研究生 |
預備知識 | |
課程提供 | 課程影音 課程綱要 |
週次 | 課程內容 | 課程影音 |
---|---|---|
Machine learning project development process | 線上觀看 | |
What is a Machine Learning Platform Open source development | 線上觀看 | |
Data Collection (Data Ingestion, Data Preparation) | 線上觀看 | |
Feature extraction | 線上觀看 | |
Machine resource management | 線上觀看 | |
Machine learning framework Model management | 線上觀看 | |
Model Deployment, Model Serving / inference / monitoring | 線上觀看 |
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。