Managing Machine Learning Projects に戻る
デューク大学（Duke University） による Managing Machine Learning Projects の受講者のレビューおよびフィードバック
44件の評価
コースについて
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
人気のレビュー
SS
2022年3月30日
worth your time if you are a product manager, product owner or project manager that is interested in implementing ML
LD
2022年5月12日
Excellent course! And the professor is a SME in the ML field. Looking forward to the next course.
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Managing Machine Learning Projects： 1 - 9 / 9 レビュー
by Saanvi J
•2022年1月13日
by ELIOT G J
•2022年4月4日
by Sandra S
•2022年3月31日
by Lisa A D
•2022年5月13日
by Arun S
•2022年10月14日
by Christian P
•2022年8月9日
by Ali A
•2022年3月26日
by Jose A B
•2022年6月15日
by 王亦凡
•2021年11月15日
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