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Bewertung und Feedback des Lernenden für Managing Machine Learning Projects von Duke University
39 Bewertungen
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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.
At the conclusion of this course, you should be able to:
1) Identify opportunities to apply ML to solve problems for users
2) Apply the data science process to organize ML projects
3) Evaluate the key technology decisions to make in ML system design
4) Lead ML projects from ideation through production using best practices
Top-Bewertungen
SS
30. März 2022
worth your time if you are a product manager, product owner or project manager that is interested in implementing ML
LD
12. Mai 2022
Excellent course! And the professor is a SME in the ML field. Looking forward to the next course.
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von Saanvi J
•13. Jan. 2022
von ELIOT G J
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von Sandra S
•31. März 2022
von Lisa A D
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von Christian P
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•15. Juni 2022
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•15. Nov. 2021
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