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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.
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Machine Learning on AWS
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Bewertungen über Machine Learning on AWS
A problem solver-real world sultions in fraud detections,&Clients personalization and provide TRUE value to customera!
Kommentare: Difinitely overwhelming with its ML tools and services, overall, we are inspired bit by bit of this tool. The autoML shows us it's high performance models such amazing autopilot services.
Vorteile:
Machine learning on AWS is reliable which give us reason to liked more and enjoy its pre-built solutions powered by AI! We like its global reach which we able to utilize effectively with comprehensive tools for almost every data ready for deployment.
Nachteile:
We are still looking forward for the AI services with pre-trained models. We anticipate this tools very much!
1 year review
Kommentare: I would recommend to get hands on with this and scale the development works
Vorteile:
It is from level zero. Like anyone who has some basic knowledge about machine learning can start here.
Nachteile:
It depends on other services which is inside AWS so there is a dependable issue.
Good Experience using ML on AWS
Kommentare: It is really helpful as i can test all my ML models further extend those into complex models as well, slight changes will really make a great impact where all the infrastructure is based on AWS
Vorteile:
Pretty easy to use interface, so people with basic knowledge about machine learning can use this product, we can run models which require high performance since the servers are great at aws, also we are only charged for the time we use the processing service, so it becomes really great when we need a cost effective system
Nachteile:
Since ML on AWS is still pretty new to the market, there are some issues in the accuracy of the models unless trained explicitly, the algorithms used are sometimes not up to the mark but it is workable
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.
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.
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.
