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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

4.6
32件の評価
6件のレビュー

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...

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Managing Machine Learning Projects: 1 - 7 / 7 レビュー

by ELIOT G J

2022年4月4日

Considering that it is a field that continues to develop even if over 80% of machine learning projects fail, I think that the course I learned here is a field that should continue to be taught as a liberal arts for the future of me, my family, and my country. Thanks for making such a wonderfully balanced system.

by Sandra S

2022年3月31日

worth your time if you are a product manager, product owner or project manager that is interested in implementing ML

by Lisa A D

2022年5月13日

Excellent course! And the professor is a SME in the ML field. Looking forward to the next course.

by Ali A

2022年3月26日

Very insightful

by Jose A B

2022年6月15日

E​xcellent!

by 王亦凡

2021年11月15日

Great!

by Saanvi J

2022年1月13日

Really nice and detailed course, however, no one is reviewing my work/assignment and my subscription is going to end!