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.
이 강좌에 대하여
No prior experience in machine learning or programming required.
귀하가 습득할 기술
- 5 stars85.71%
- 4 stars6.12%
- 3 stars4.08%
- 2 stars2.04%
- 1 star2.04%
MANAGING MACHINE LEARNING PROJECTS의 최상위 리뷰
worth your time if you are a product manager, product owner or project manager that is interested in implementing ML
Excellent course! And the professor is a SME in the ML field. Looking forward to the next course.
Very important course for anyone interested in understanding the process involved in managing AI projects. Strongly recommended.
AI Product Management 특화 과정 정보
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