When assessing the two solutions, reviewers found Google Cloud AutoML easier to use and administer. However, reviewers felt that Amazon Sagemaker Ground Truth was easier to do business with overall. Finally, reviewers felt that the products are equally easy to set up.
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...
Google’s cloud implementation is top notch!
There’s nothing to dislike but maybe slow
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.
Google’s cloud implementation is top notch!
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...
There’s nothing to dislike but maybe slow