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學生對 杜克大学 提供的 Managing Machine Learning Projects 的評價和反饋

4.7
45 個評分

課程概述

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...

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SS

2022年3月30日

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

LD

2022年5月12日

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 個評論(共 9 個)

創建者 Saanvi J

2022年1月13日

創建者 ELIOT G J

2022年4月4日

創建者 Sandra S

2022年3月31日

創建者 Lisa A D

2022年5月13日

創建者 Arun S

2022年10月14日

創建者 Christian P

2022年8月9日

創建者 Ali A

2022年3月26日

創建者 Jose A B

2022年6月15日

創建者 王亦凡

2021年11月15日