Chevron Left
Zurück zu Managing Machine Learning Projects

Bewertung und Feedback des Lernenden für Managing Machine Learning Projects von Duke University

4.6
Sterne
39 Bewertungen

Über den Kurs

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.

Filtern nach:

1 - 8 von 8 Bewertungen für Managing Machine Learning Projects

von Saanvi J

13. Jan. 2022

von ELIOT G J

4. Apr. 2022

von Sandra S

31. März 2022

von Lisa A D

13. Mai 2022

von Christian P

9. Aug. 2022

von Ali A

26. März 2022

von Jose A B

15. Juni 2022

von 王亦凡

15. Nov. 2021