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
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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
Sidhant N.
- Role: Student Academic
- Industry: Technology
- Involvement: IT Leader or Manager
Submitted Jul 2024
AWS ML: Desired Features for Future Development
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
AWS Machine Learning stands out due to its extensive and scalable cloud infrastructure, seamless integration with other AWS services, and a broad range of pre-built machine learning models and tools
What is your favorite aspect of this product?
My favorite aspect of AWS Machine Learning is its seamless integration with other AWS services
What do you dislike most about this product?
One aspect I dislike about AWS Machine Learning is the complexity of its pricing structure. The cost can be difficult to predict due to the variety of services and their usage-based pricing models.
What recommendations would you give to someone considering this product?
Understand AWS pricing to manage costs effectively. Utilize free tiers for initial testing. Leverage AWS’s extensive documentation and training. Integrate with other AWS services for efficiency.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Ritika B.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted May 2024
Extremely satisfied, Has excellent services!
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
It has a well architected framework. Which helps a lot in decision making. It has guides which ask the right questions for a better evaluation.
What is your favorite aspect of this product?
It's quick automation is the best feature. Also it's capabilities to handle such huge data.
What do you dislike most about this product?
The cost, would love if the cost could be reduced.
What recommendations would you give to someone considering this product?
Go through the initial trainings before you begin. As it would give a much better understanding of the product.
Pros
- Helps Innovate
- Performance Enhancing
- Enables Productivity
- Trustworthy
Abhay C.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted May 2024
Strong, Entire, and Complicated
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
Scalability, flexibility, and an extensive and integrated set of services are what make AWS Machine Learning unique. It provides a vast array of tools, ranging from pre-built AI services like Rekognition and Comprehend to SageMaker for complete model building. Furthermore, its smooth connection with the larger AWS ecosystem offers strong infrastructure and comprehensive support for large-scale machine learning model deployment.
What is your favorite aspect of this product?
Amazon SageMaker is my favorite feature of AWS Machine Learning. It greatly streamlines the workflow by providing an end-to-end solution for creating, honing, and implementing machine learning models. It is very strong and easy to use for both novice and expert data scientists due to its ability to expand effortlessly and connect with other AWS services.
What do you dislike most about this product?
The complexity and high learning curve of AWS Machine Learning are the most annoying features for newcomers. It can be intimidating to sort through the multitude of services and comprehend how they all work together. Furthermore, the cost structure might be complicated, which makes it difficult to anticipate costs precisely without careful preparation and observation.
What recommendations would you give to someone considering this product?
Start with the free tier of AWS and use its introductory lessons to familiarize yourself without spending any money. Take advantage of seamless connectivity with other AWS services and monitor spending with tools like AWS Cost Explorer. Join the AWS ML community to receive guidance and best practices.
Pros
- Continually Improving Product
- Reliable
- Unique Features
- Efficient Service
