deeplearning.ai による Optimize ML Models and Deploy Human-in-the-Loop Pipelines の受講者のレビューおよびフィードバック
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人気のレビュー
In this course I learn about training, fine-tuning, deploying and monitoring Models in AWS. The ideas about Human-in-the-loop pipelines is pretty cool.
I have worked in data science field for some years, so make me easier to appreciate the contents prepared by course mentors. Thanks! :)
Optimize ML Models and Deploy Human-in-the-Loop Pipelines： 1 - 11 / 11 レビュー
by Chris D
•This specialisation, including this course, has a comprehensive coverage of various practical considerations to build ML pipelines. Taking a data driven AI perspective and including data exploration, feature.
The labs are very well thought through and prepared.
Basic understanding of AWS services (especially S3 and Cloudwatch) is required.
by phoenix c
•훌륭한 course 였습니다. 감사합니다.
다만 총 3달 코스 인데도 불구하고 마지막 달 코스 기간내 였는데 4달째 자동 결재가 되었습니다.
3달 코스를 4달 비용으로 자동으로 결재되는 부분은 문제가 있어 보입니다.
4달째 자동 결재부분은 자동결재가 되지 않도록 해결해줄수 있으실까요 ?
by lonnie
•In this course I learn about training, fine-tuning, deploying and monitoring Models in AWS. The ideas about Human-in-the-loop pipelines is pretty cool.
by Simon h
•I have worked in data science field for some years, so make me easier to appreciate the contents prepared by course mentors. Thanks! :)
by Alexander M
•Excellent course with ability to directly practice in Amazon SageMaker.
by Kee K Y
•Excellent platforms for advanced ML deployment AWS platforms!
by Diego M
•It is difficult to understand completely lab exercises . Very Nice course!!
by Antony W
•Good information...assignments are ok
by Mark P
•Coding exercises are a bit too structured, there isn't as much learning as I would have liked. That said, having the notebooks for reference at work is quite useful. Good introduction.
by Parag K
•Detailed code walk through explaining the code would have been helpful similar how it was done in Tensorflow In Practice Specalization
by YANGYANG C
•Introduce the ML workflow nicely, the assignment is not that hard and hope could have more explanation.
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