What is AWS Machine Learning?
Amazon Machine Learning is an Amazon Web Services product that allows a developer to discover patterns in end-user data through algorithms, construct mathematical models based on these patterns and then create and implement predictive applications.
Company Details
Need Assistance?
We're here to help you with understanding our reports and the data inside to help you make decisions.
Get AssistanceAWS Machine Learning Ratings
Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard
to access more information on AWS Machine Learning.
Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
86 Likeliness to Recommend
1
Since last award
93 Plan to Renew
4
Since last award
78 Satisfaction of Cost Relative to Value
4
Since last award
Emotional Footprint Overview
Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
+89 Net Emotional Footprint
The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.
How much do users love AWS Machine Learning?
Pros
- Reliable
- Security Protects
- Continually Improving Product
- Respectful
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Pre-Packaged AI/ML Services
Performance and Scalability
Data Ingestion
Data Pre-Processing
Data Exploration and Visualization
Feature Engineering
Data Labeling
Algorithm Recommendation
Model Training
Model Tuning
Openness and Flexibility
Vendor Capability Ratings
Quality of Features
Ease of Data Integration
Ease of Implementation
Vendor Support
Business Value Created
Breadth of Features
Ease of Customization
Ease of IT Administration
Usability and Intuitiveness
Product Strategy and Rate of Improvement
Availability and Quality of Training
AWS Machine Learning Reviews
Jeya S.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Nov 2024
Trust worthy and Flexible product, Easy to use.
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
AWS offers a wide range of pre-built models, customizable solutions, and fully managed services like SageMaker, which simplify model development, training, and deployment.
What is your favorite aspect of this product?
My favorite aspect is it allows both novice users and experienced data scientists to easily build, train, and deploy machine learning models at scale, without worrying about infrastructure.
What do you dislike most about this product?
Not Applicable much!
What recommendations would you give to someone considering this product?
Trust worthy and Flexible product, Easy to use.
Pros
- Continually Improving Product
- Reliable
- Performance Enhancing
- Enables Productivity
Geoffrey M.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Leader or Manager
Submitted Oct 2024
Powerful tools for machine learning!
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
AWS Machine Learning stands out due to its extensive integration with other AWS services and its scalability, allowing users to handle large datasets effectively.
What is your favorite aspect of this product?
The comprehensive suite of tools and services it offers for model development and deployment, making it easier to build robust machine learning applications.
What do you dislike most about this product?
The user interface can be overwhelming for new users, and the learning curve is steep, requiring significant time investment to fully understand all features.
What recommendations would you give to someone considering this product?
I recommend thorough training and familiarization with the AWS ecosystem before diving into machine learning projects to maximize the platform's potential.
Pros
- Unique Features
- Security Protects
- Helps Innovate
- Continually Improving Product
Emran K.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Leader or Manager
Submitted Sep 2024
Fantastic Product in the market!
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
AWS has everything I can ask for. Also it does recover the issues user creates. Cloud computing is the best.
What is your favorite aspect of this product?
Cloud computing of AWS
What do you dislike most about this product?
Nothing to dislike.
What recommendations would you give to someone considering this product?
AWS provides over 200 fully featured services, making it the most comprehensive cloud platform available and I like the machine learning and artificial intelligence of AWS. So someone can seriously consider AWS.
Pros
- Helps Innovate
- Reliable
- Unique Features
- Efficient Service
