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學生對 杜克大学 提供的 Cloud Machine Learning Engineering and MLOps 的評價和反饋

4.7
43 個評分

課程概述

Welcome to the fourth course in the Building Cloud Computing Solutions at Scale Specialization! In this course, you will build upon the Cloud computing and data engineering concepts introduced in the first three courses to apply Machine Learning Engineering to real-world projects. First, you will develop Machine Learning Engineering applications and use software development best practices to create Machine Learning Engineering applications. Then, you will learn to use AutoML to solve problems more efficiently than traditional machine learning approaches alone. Finally, you will dive into emerging topics in Machine Learning including MLOps, Edge Machine Learning and AI APIs. This course is ideal for beginners as well as intermediate students interested in applying Cloud computing to data science, machine learning and data engineering. Students should have beginner level Linux and intermediate level Python skills. For your project in this course, you will build a Flask web application that serves out Machine Learning predictions....

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YA

2022年2月7日

Amazing teacher and perfect mixture of necessary informations. It was a privilage to learn from him, i recommend this course for every ML Engineer.

AD

2022年10月31日

Great Intro into DevOps and MLOps for beginners, Also good explanation and practical application examples

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1 - Cloud Machine Learning Engineering and MLOps 的 8 個評論(共 8 個)

創建者 Yağızhan A A

2022年2月8日

創建者 Aaron D

2022年11月1日

創建者 Sergio A C G

2021年7月9日

創建者 Pardon S C

2022年7月16日

創建者 谭中意

2021年9月19日

創建者 Ivan O C

2021年6月27日

創建者 Alson Y

2022年6月2日

創建者 dumebi j

2021年11月17日