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
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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
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
Mukesh T.
- Role: Consultant
- Industry: Healthcare
- Involvement: End User of Application
Submitted Nov 2022
Easy to use and it's fantastic product.
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
Better to use AWS machine learning if you are using other AWS services as well as you get everything under a same roof.
What is your favorite aspect of this product?
Better support from AWS technical team
What do you dislike most about this product?
Needs to improve models
What recommendations would you give to someone considering this product?
Better to use AWS ML as they have good technical support.
Pros
- Helps Innovate
- Performance Enhancing
- Trustworthy
- Unique Features
- Role: C-Level
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Nov 2022
Sagemaker is Intuitive and growing fast
Likeliness to Recommend
Pros
- Performance Enhancing
- Helps Innovate
- Efficient Service
- Effective Service
