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学生对 Duke University 提供的 Managing Machine Learning Projects 的评价和反馈

4.8
312 个评分

课程概述

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...

热门审阅

JI

Jul 10, 2024

I like this course; it is very informative. I learned a lot of useful concepts, and I reinforced much of what I knew. I recommend this course, even if is just for fun.

RG

Sep 3, 2023

The peer rating for the final project is interesting, if someone who does not get what is being asked for the final project is going to rate my final project. Saw some interesting examples.

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76 - Managing Machine Learning Projects 的 82 个评论(共 82 个)

创建者 Eslam E

Apr 4, 2024

It is useful, practical and has helped me complete many tasks

创建者 ABDOULAYE K B

Nov 4, 2024

TRES BIEN

创建者 SEIKH S M

Apr 26, 2025

Good

创建者 RAJA K N

Apr 19, 2025

Good

创建者 bimalendu b

Mar 27, 2025

Ok

创建者 Subash C S

May 22, 2025

Very nice

创建者 21PCT09 M

Sep 29, 2025

Nice