This second course of the AI Product Management Specialization by Duke University's Pratt School of Engineering focuses on the practical aspects of managing machine learning projects. The course walks through the keys steps of a ML project from how to identify good opportunities for ML through data collection, model building, deployment, and monitoring and maintenance of production systems. Participants will learn about the data science process and how to apply the process to organize ML efforts, as well as the key considerations and decisions in designing ML systems.阅读更多.
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Managing Machine Learning Projects 中涵盖的技术和工具与 数据科学家 招聘广告中的要求最为相似。
Managing Machine Learning Projects is a part of 一 structured learning path.
3 Courses
4 Months
AI Product Management
