Managing ML Projects

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This second course in Duke University's AI Product Management Specialization delves into the practical aspects of managing machine learning projects, such as the identification of opportunities, the application of data science processes, the making of critical technological decisions, and the implementation of best practices from concept to production.

Key AI Functions:Modeling,Project Management,Machine Learning

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Description for Managing ML Projects

The course emphasizes the practical aspects of managing machine learning projects, covering stages from opportunity identification to system maintenance.

It provides knowledge of the data science process and its application in organizing machine learning endeavors.

Participants will learn to assess critical technological decisions in designing machine learning systems.

The course teaches best practices for guiding ML initiatives from initial concept to production.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On Coursera provided by Duke University

Duration: 18 hours (approximately)

Schedule: Flexible

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