Machine Learning on AWS
¿Qué es Machine Learning on AWS?
With AWS machine learning (ML), you can make accurate predictions, gain deeper insights from your data, reduce operational overhead, and improve the customer experience. AWS helps you at every Leer más stage of your ML adoption journey with the most comprehensive set of artificial intelligence (AI) and ML services, infrastructure, and implementation resources. Download our free eBook to see how other businesses like yours use AWS Machine Learning services. Mostrar menos¿Quién usa Machine Learning on AWS?
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Machine Learning on AWS
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Opinones de Machine Learning on AWS
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- 51-200
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Abhinav
Near human experience using aws machine learning
Comentarios: overall, I love using its services on a daily basis it ease my work with its advance machine learning algorithms.
Puntos a favor:
I have been using ocr service one of the most advance machine learning on aws service it's called aws textract and it has been super helpful in taking out useful information from hand written text that I further use to process and save in database.
Contras:
Machine learning on aws tho has lot of features but are still prone to lot of errors its ai algorithm can still be improved a lot.
Tariq
A great platform for companies
Comentarios: Overall the AWS is really great for a starter, coupled with its security options and flexibility to run HPC services. The small disadvantages of server being down and the lack of a well established community of users can be overcome and are nowhere near the pros.
Puntos a favor:
Firstly its extremely user friendly, compared to other platforms like Azure and GCP. It also posesses and end to end security channel that ensures the confidentiality and the security of the review being provided. Further i am able to run heavy deep learning models that required HPC (high performance computing) services.
Contras:
Since AWS cloud is relatively new, there aren't too many well established professionals who are proficient. And at times the servers do go down, hence a small issue.
