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
Ansh K.
- Role: Information Technology
- Industry: Education
- Involvement: IT Leader or Manager
Submitted Apr 2024
Sure to kill in the market
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
Comprehensive set of AI and resources, enabling users to gain deeper insights from their data
What is your favorite aspect of this product?
AWS provides support at every stage of the machine learning
What do you dislike most about this product?
Inconsistency between the services provided
What recommendations would you give to someone considering this product?
Can go used this product as it's beginner friendly and have greater aspect also in the future
Pros
- Helps Innovate
- Reliable
- Enables Productivity
- Trustworthy
Tushar M.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Mar 2024
Seamless Integration, Versatile.
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
AWS Machine Learning distinguishes itself from other comparable products with its smooth connection with the larger AWS ecosystem, user-friendly interface, scalability, and robust security measures.
What is your favorite aspect of this product?
Its smooth interaction with other AWS services, which greatly streamlines the machine learning workflow, is my favorite feature.
What do you dislike most about this product?
Due to the intricacy of accessing its features, the primary disadvantage is the learning curve for novices. This issue might be resolved with better, more approachable documentation.
What recommendations would you give to someone considering this product?
Take the time to become familiar with the features of AWS Machine Learning and how it integrates with other AWS services. Make use of the community help and available tutorials to speed up your learning and tailor the platform to your requirements.
Pros
- Unique Features
- Efficient Service
- Saves Time
- Client Friendly Policies
Ketan S.
- Role: Information Technology
- Industry: Engineering
- Involvement: IT Leader or Manager
Submitted Mar 2024
Good ML services but cost of tool is very high
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
1. Have a very huge community and variety of AI/ML services to build an AI/ML solution 2. Platform is very intuitive and easy to manage
What is your favorite aspect of this product?
majorly used sagemaker, it is a very good tool to deploy an ML model very easily. It provide variety of services which makes it easier to build the model.
What do you dislike most about this product?
Does not provide any good data labelling services. Don't have any Ai recommendation service inbuilt
What recommendations would you give to someone considering this product?
If your requirement is to build an model quickly and deploy it, then definitely go for it but there will be a learning curve for services to use.
Pros
- Continually Improving Product
- Reliable
- Enables Productivity
- Inspires Innovation
Cons
- Vendor Friendly Policies
- Commodity Features
- Less Caring
