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.
88 Likeliness to Recommend
92 Plan to Renew
2
Since last award
82 Satisfaction of Cost Relative to Value
1
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.
+92 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
- Respectful
- Efficient Service
- Effective Service
- Includes Product Enhancements
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
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Feature Ratings
Pre-Packaged AI/ML Services
Performance and Scalability
Data Pre-Processing
Openness and Flexibility
Algorithm Diversity
Model Tuning
Feature Engineering
Data Ingestion
Algorithm Recommendation
Data Labeling
Model Training
Vendor Capability Ratings
Quality of Features
Ease of Data Integration
Business Value Created
Vendor Support
Ease of Implementation
Breadth of Features
Ease of Customization
Product Strategy and Rate of Improvement
Ease of IT Administration
Usability and Intuitiveness
Availability and Quality of Training
AWS Machine Learning Reviews
- Role: Consultant
- Industry: Engineering
- Involvement: IT Development, Integration, and Administration
Submitted Mar 2023
The AWS Machine learning tools are remarkable.
Likeliness to Recommend
Pros
- Effective Service
- Caring
- Acts with Integrity
- Helps Innovate
Reddi Bhaskar K.
- Role: Information Technology
- Industry: Healthcare
- Involvement: IT Development, Integration, and Administration
Submitted Mar 2023
Easy to use, but a bit pricey.
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
All the ML related services are available in AWS
What is your favorite aspect of this product?
Labeling, rekognition of objectives and auto modeling
What do you dislike most about this product?
Live capture the images
What recommendations would you give to someone considering this product?
It's easy to implementing the ML algorithms
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Uğur Deniz Y.
- Role: Information Technology
- Industry: Technology
- Involvement: Business Leader or Manager
Submitted Jan 2023
Intuitive and successful
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
The AWS Machine Learning service can be integrated with other Amazon services such as Amazon S3 and Amazon Redshift, allowing data scientists to easily store, access and process data. The service also supports many open-source software such as Tensorflow and Pytorch, which gives users the flexibility to customize it to fit their specific workflows. Additionally, the service offers experienced customer support and development teams.
What is your favorite aspect of this product?
AWS facilitates data science projects by using advanced learning algorithms and data processing tools. It has an easy-to-use interface for developers and data scientists and works on Amazon's extensive cloud computing platform. AWS offers a range of tools and features to accelerate and simplify the work of data scientists. For example, the service includes tools for loading, transforming, processing, and modeling data sets. Additionally, it includes hyperparameter optimizers to optimize the performance of learning algorithms. It runs all kinds of machine learning algorithms with high performance.
What do you dislike most about this product?
It can be a bit costly. I didn't use some features I was curious about because they were expensive. There should be more updates. Limited scalability. In some cases, you may have to make additional configurations for large data sets.
What recommendations would you give to someone considering this product?
Successful, I recommend.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
