Wir helfen Unternehmen seit 17 Jahren,
bessere Software zu finden
Machine Learning on AWS
Was ist Machine Learning on AWS?
Mit ML (maschinelles Lernen) in AWS kannst du genaue Vorhersagen treffen, mehr Erkenntnisse aus deinen Daten gewinnen, den Betriebsaufwand reduzieren und das Kundenerlebnis verbessern.
AWS hilft dir in jeder Phase deiner ML-Einführung (maschinelles Lernen) mit umfassenden KI- (künstliche Intelligenz) und ML-Diensten, Infrastruktur und Implementierungsressourcen.
Lade das kostenlose E-Book herunter, um zu sehen, wie andere Unternehmen wie deines ML-Dienste in AWS einsetzen.
Wer verwendet Machine Learning on AWS?
Nicht vom Anbieter bereitgestellt
Du bist nicht sicher, ob Machine Learning on AWS das Richtige ist?
Mit einer beliebten Alternative vergleichen
Machine Learning on AWS
Bewertungen über Machine Learning on AWS
Durchschnittliche Bewertung
Nutzerbewertungen nach Unternehmensgröße (Angestellte)
- <50
- 51-200
- 201-1.000
- >1.001
Bewertungen nach Punktzahl finden
My Cloud Computing Class Project experience on Amazon Web Services.
Kommentare: As a student of the University of Burgundy, I use everything free on Amazon Web Service. It was an awesome experience and enjoy using the service to deployment level.
Vorteile:
I love the fact that AWS only charges for processing time and not the whole period of being on their page. This helps to minimize costs and maximize profit.
Nachteile:
What I like least about Amazon Web Services is the deployment challenges faced as a student, which is not the case when I am using my normal login details. So, I will implore Amazon to increase the memory size issued to the student page.
A great platform for companies
Kommentare: 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.
Vorteile:
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.
Nachteile:
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.
Near human experience using aws machine learning
Kommentare: overall, I love using its services on a daily basis it ease my work with its advance machine learning algorithms.
Vorteile:
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.
Nachteile:
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.