Lors de l'évaluation des deux solutions, les examinateurs ont trouvé Hive Data plus facile à utiliser, à configurer et à administrer. Les examinateurs ont également préféré faire des affaires avec Hive Data dans l'ensemble.
I have done some active learning before and hence I know the difficulty of implementing a system, more difficult when that is automated platform that involves human annotators. I have seen videos on the AWS Re:invent where it was introduced and it sounds...
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...
I like the flexibility of features it provides for analyzing bigdata and infrastructure overall
I have done some active learning before and hence I know the difficulty of implementing a system, more difficult when that is automated platform that involves human annotators. I have seen videos on the AWS Re:invent where it was introduced and it sounds...
I like the flexibility of features it provides for analyzing bigdata and infrastructure overall
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...