Machine Learning on AWS

RATING:

5.0

(3)
Overview

About Machine Learning on AWS

AWS provides the most comprehensive set of artificial intelligence (AI) and machine learning (ML) services. With a fully managed cloud infrastructure, you can build, train, and deploy integrated machine learning models for any use case. Scalable, low-cost machine learning with high performance. With AWS machine learning, you can make accurate predictions, gain deeper insights from your data, reduce operational overhead, and improve customer experience (ML). AWS supports you at every stage of your ML adoption journey by providing the most comprehensive set of AI and ML services, infrastructure, and implementation resources. AWS offers 2 months of free machine learning usage under it's free-tier offering. AWS machine learning offers at least 54% lower total cost of own...

Machine Learning on AWS Pricing

Free trial: 

Available

Free version: 

Not Available

AWS AI + Disney

Machine Learning on AWS Reviews

Overall Rating

5.0

Ratings Breakdown

Secondary Ratings

Ease-of-use

5

Customer Support

5

Value for money

5

Functionality

4.5

Most Helpful Reviews for Machine Learning on AWS

3 Reviews

Anonymous

201-500 employees

Used monthly for less than 6 months

Review Source: Capterra
This review was submitted organically. No incentive was offered

OVERALL RATING:

5

EASE OF USE

5

VALUE FOR MONEY

5

CUSTOMER SUPPORT

5

FUNCTIONALITY

5

Reviewed January 2023

My Cloud Computing Class Project experience on Amazon Web Services.

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.

PROS

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.

CONS

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.

Tariq

Education Management, 1 employee

Used monthly for less than 12 months

Review Source: Capterra
This reviewer was invited by us to submit an honest review and offered a nominal incentive as a thank you.

OVERALL RATING:

5

EASE OF USE

5

VALUE FOR MONEY

5

CUSTOMER SUPPORT

5

FUNCTIONALITY

5

Reviewed June 2022

A great platform for companies

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.

PROS

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.

CONS

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.

Reasons for switching to Machine Learning on AWS

Just to give it a try

Abhinav

Information Technology and Services, 201-500 employees

Used daily for more than 2 years

Review Source: Capterra
This review was submitted organically. No incentive was offered

OVERALL RATING:

5

EASE OF USE

5

VALUE FOR MONEY

5

CUSTOMER SUPPORT

5

FUNCTIONALITY

4

Reviewed June 2022

Near human experience using aws machine learning

overall, I love using its services on a daily basis it ease my work with its advance machine learning algorithms.

PROS

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.

CONS

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.