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Avis et commentaires pour d'étudiants pour Managing Machine Learning Projects par Université Duke

49 évaluations

À propos du cours

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...

Meilleurs avis


29 déc. 2022

Very important course for anyone interested in understanding the process involved in managing AI projects. Strongly recommended.


30 mars 2022

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

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1 - 9 sur 9 Avis pour Managing Machine Learning Projects

par Saanvi J

13 janv. 2022

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


4 avr. 2022

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.

par Sandra S

31 mars 2022

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

par Lisa A D

13 mai 2022

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

par Arun S

14 oct. 2022

I really liked this course for introducing some practical aspects of conceptualizing an ML solution and taking it to implementation with system design considerations. Very useful for professionals from varoius backgrounds to understand the level of undertaking to implement something like this in their org.

par Christian P

9 août 2022

A very good course to refresh and improve topics about managing DS projects.

par Ali A

26 mars 2022

Very insightful

par Jose A B

15 juin 2022


par 王亦凡

15 nov. 2021