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- Amazon Forecast-vs-Amazon Sagemaker Ground Truth
Compare Amazon Forecast and Amazon Sagemaker Ground Truth 
Amazon Forecast vs Amazon Sagemaker Ground Truth
When assessing the two solutions, reviewers found Amazon Forecast easier to use, set up, and do business with overall. However, reviewers preferred the ease of administration with Amazon Sagemaker Ground Truth.
- Reviewers felt that Amazon Forecast meets the needs of their business better than Amazon Sagemaker Ground Truth.
- When comparing quality of ongoing product support, reviewers felt that Amazon Sagemaker Ground Truth is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Amazon Sagemaker Ground Truth over Amazon Forecast.
it is highly reliable and scaleble , this is more than mos of our needs that allows it to be more userfriendly. we also cherish its use of the AWS infrastructure and the preciseness that it provides in return based on the data inputs
Sometime the price forecasted is not accurate
This tool resolve one of the most popular problems into data mining and machine learning. It allows users to tag every data set content like audio, databases with large texts, images. This tasks make life much more easy for a data scientist.
It can be hard to use for people who do not have any machine learning experience. After the data is labeled by AWS SageMaker Ground Truth it has to be validated that the data has been labeled correctly. Some of the labels is inaccurate and they have to be...
it is highly reliable and scaleble , this is more than mos of our needs that allows it to be more userfriendly. we also cherish its use of the AWS infrastructure and the preciseness that it provides in return based on the data inputs
This tool resolve one of the most popular problems into data mining and machine learning. It allows users to tag every data set content like audio, databases with large texts, images. This tasks make life much more easy for a data scientist.
Sometime the price forecasted is not accurate
It can be hard to use for people who do not have any machine learning experience. After the data is labeled by AWS SageMaker Ground Truth it has to be validated that the data has been labeled correctly. Some of the labels is inaccurate and they have to be...
