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学生对 杜克大学 提供的 Managing Machine Learning Projects 的评价和反馈

4.7
45 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

SS

Mar 30, 2022

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

LD

May 12, 2022

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

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1 - Managing Machine Learning Projects 的 9 个评论(共 9 个)

创建者 Saanvi J

Jan 13, 2022

创建者 ELIOT G J

Apr 4, 2022

创建者 Sandra S

Mar 31, 2022

创建者 Lisa A D

May 13, 2022

创建者 Arun S

Oct 14, 2022

创建者 Christian P

Aug 9, 2022

创建者 Ali A

Mar 26, 2022

创建者 Jose A B

Jun 15, 2022

创建者 王亦凡

Nov 15, 2021