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
Vicent A.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Leader or Manager
Submitted Feb 2022
It's good to start with machine learning!
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
All others AWS services involved to create a good products
What is your favorite aspect of this product?
is fast to deploy a model
What do you dislike most about this product?
a very few options
What recommendations would you give to someone considering this product?
Don't lose your hope at first try
Pros
- Performance Enhancing
- Enables Productivity
- Saves Time
- Includes Product Enhancements
Cons
- Commodity Features
- Vendor Friendly Policies
Please tell us why you think this review should be flagged.
Rushikesh G.
- Role: Information Technology
- Industry: Machinery
- Involvement: IT Development, Integration, and Administration
Submitted Jul 2021
vast variety of updates
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
AWS offers the broadest and deepest set of machine learning services and supporting cloud infrastructure, putting machine learning in the hands of every developer, data scientist and expert practitioner
What is your favorite aspect of this product?
Intelligent document processing
What do you dislike most about this product?
High Level of Error Susceptibility
What recommendations would you give to someone considering this product?
Yes, It is good in the market
Pros
- Performance Enhancing
- Fair
- Unique Features
- Altruistic
Please tell us why you think this review should be flagged.
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