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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
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Since last award
93 Plan to Renew
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Since last award
79 Satisfaction of Cost Relative to Value
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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
- Continually Improving Product
- Respectful
- Efficient Service
- Security Protects
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 Pre-Processing
Data Ingestion
Openness and Flexibility
Algorithm Recommendation
Feature Engineering
Model Tuning
Algorithm Diversity
Data Labeling
Model Training
Vendor Capability Ratings
Quality of Features
Ease of Implementation
Ease of Data Integration
Vendor Support
Business Value Created
Breadth of Features
Ease of Customization
Ease of IT Administration
Product Strategy and Rate of Improvement
Usability and Intuitiveness
Availability and Quality of Training
AWS Machine Learning Reviews
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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
Please tell us why you think this review should be flagged.
Nikolay V.
- Role: Information Technology
- Industry: Entertainment
- Involvement: IT Leader or Manager
Submitted May 2024
Efficient tool to use
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
Great tool to automate the models and refresh the data
What is your favorite aspect of this product?
Its efficiency, automation, and data processing capabilities
What do you dislike most about this product?
sometimes it can take long time to run the models
What recommendations would you give to someone considering this product?
Yes, I would recommend to use that if you are looking for the ML tool
Pros
- Continually Improving Product
- Reliable
- Performance Enhancing
- Efficient Service
Please tell us why you think this review should be flagged.
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Atharva V.
- Role: Information Technology
- Industry: Technology
- Involvement: End User of Application
Submitted May 2024
Unlocking Potential with Advanced AWS Features
Likeliness to Recommend
What differentiates AWS Machine Learning from other similar products?
AWS Machine Learning differentiates itself by providing scalability and access to a wide range of cloud services while integrating easily into the larger AWS ecosystem. Because of its simple UI and detailed documentation, developers looking to innovate and improve their AI/ML projects can consider it as a great solution.
What is your favorite aspect of this product?
My favorite aspect of AWS Machine Learning as an AI/ML developer is its easy scaling and connectivity with other AWS services. This makes deployment and development easier, allowing me time to concentrate on problem-solving instead of infrastructure management.
What do you dislike most about this product?
The primary drawback of AWS Machine Learning for an independent developer is the possibility of rising costs with increased usage. Also, implementing all of it can be challenging and requires an in-depth knowledge of AWS services.
What recommendations would you give to someone considering this product?
Before implementing it directly go through its documentation and the training that AWS provide on their official platform, I personally would recommend to do the AWS training and certification before directly implementing it.
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Unique Features
Please tell us why you think this review should be flagged.
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