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
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Real user data aggregated to summarize the product performance and customer experience.
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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
Gaurav K.
- Role: Information Technology
- Industry: Communications
- Involvement: Business Leader or Manager
Submitted Oct 2023
Awesome Product
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
one of the best product of AWS ML is sage maker which gets easily deployed using couple of Cloudformation scripts Sage maker pilot allows to use automatic model creation so efficiently. Real time and batch inferencing allows devs to obtain predictions interactively Easy UI to spin up sagemaker instances and train your ML models on that
What is your favorite aspect of this product?
Real time and batch inferencing allows devs to obtain predictions interactively
What do you dislike most about this product?
No issues so far with the product
What recommendations would you give to someone considering this product?
Make sure you are not keeping instances on/off for longer period of time , have some automation policies to clear the instances that are not being used
Pros
- Enables Productivity
- Security Protects
- Helps Innovate
- Reliable
Vaibhav B.
- Role: Industry Specific Role
- Industry: Biotechnology
- Involvement: IT Development, Integration, and Administration
Submitted Oct 2023
Easy to use. A lot of features, but pricey.
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
AWS has established itself in the market! everyone understands AWS better than other cloud providers.
What is your favorite aspect of this product?
great UI/UX
What do you dislike most about this product?
a lot of features. really confusing .
What recommendations would you give to someone considering this product?
Do try it! i personally found it more user friendly than GCP.
Pros
- Helps Innovate
- Reliable
- Performance Enhancing
- Fair
Mohd K.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Sep 2023
Accelerating Innovation with AI & ML
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
AWS Machine Learning is a comprehensive platform that offers a wide range of services, features, and benefits for building, training, and deploying machine learning models. It differentiates itself from other similar products with its breadth and depth of services, scalability and performance, security and compliance, and innovation.
What is your favorite aspect of this product?
My favorite aspect of AWS Machine Learning is its breadth and depth of services, giving users the flexibility to choose the right service for their needs, regardless of their expertise or budget. I am also excited about its potential to democratize AI and make it accessible to everyone.
What do you dislike most about this product?
The one thing I dislike most about AWS Machine Learning is that it can be complex and overwhelming for new users, especially with its wide range of services and features. Additionally, some of the services can be expensive, especially for businesses that are just getting started with AI.
What recommendations would you give to someone considering this product?
Here are some recommendations I would give to someone considering AWS Machine Learning: Start with a clear understanding of your needs and budget. Use the AWS documentation and tutorials to learn about the platform and services available. Consider taking an AWS Machine Learning course to get hands-on experience.
Pros
- Trustworthy
- Efficient Service
- Effective Service
- Respectful
