Avis et commentaires pour d'étudiants pour Optimize ML Models and Deploy Human-in-the-Loop Pipelines par deeplearning.ai
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Meilleurs avis
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! :)
1 - 14 sur 14 Avis pour Optimize ML Models and Deploy Human-in-the-Loop Pipelines
par 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.
par 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 ?
par 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.
par 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! :)
par yugesh v
•It's an awesome course to get a feel for A/B testing on cloud environment and Augmented AI
par Alexander M
•Excellent course with ability to directly practice in Amazon SageMaker.
par Kee K Y
•Excellent platforms for advanced ML deployment AWS platforms!
par Daniel M
•Awesome experience, great instructors!
par Diego M
•It is difficult to understand completely lab exercises . Very Nice course!!
par Antony W
•Good information...assignments are ok
par Sanjay C
•I was a little disappointed in the courses in this specialization - the issue is that a large part of the coding was already done. In order for this course to be an "advanced" level course, the students should be asked to write their own SQL/pandas/python code for database access and data processing.
par 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.
par Parag K
•Detailed code walk through explaining the code would have been helpful similar how it was done in Tensorflow In Practice Specalization
par YANGYANG C
•Introduce the ML workflow nicely, the assignment is not that hard and hope could have more explanation.
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