Вернуться к Managing Machine Learning Projects
Отзывы учащихся о курсе Managing Machine Learning Projects от партнера Университет Дьюка
Оценки: 45
О курсе
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
Лучшие рецензии
SS
30 мар. 2022 г.
worth your time if you are a product manager, product owner or project manager that is interested in implementing ML
LD
12 мая 2022 г.
Excellent course! And the professor is a SME in the ML field. Looking forward to the next course.
Фильтр по:
1–9 из 9 отзывов о курсе Managing Machine Learning Projects
автор: Saanvi J
•13 янв. 2022 г.
автор: ELIOT G J
•4 апр. 2022 г.
автор: Sandra S
•31 мар. 2022 г.
автор: Lisa A D
•13 мая 2022 г.
автор: Arun S
•14 окт. 2022 г.
автор: Christian P
•9 авг. 2022 г.
автор: Ali A
•26 мар. 2022 г.
автор: Jose A B
•15 июня 2022 г.
автор: 王亦凡
•15 нояб. 2021 г.
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