Amazon Machine Learning vs PredictionIO: What are the differences?
What is Amazon Machine Learning? Visualization tools and wizards that guide you through the process of creating ML models w/o having to learn complex ML algorithms & technology. This new AWS service helps you to use all of that data you’ve been collecting to improve the quality of your decisions. You can build and fine-tune predictive models using large amounts of data, and then use Amazon Machine Learning to make predictions (in batch mode or in real-time) at scale. You can benefit from machine learning even if you don’t have an advanced degree in statistics or the desire to setup, run, and maintain your own processing and storage infrastructure.
What is PredictionIO? Open Source Machine Learning Server. PredictionIO is an open source machine learning server for software developers to create predictive features, such as personalization, recommendation and content discovery.
Amazon Machine Learning and PredictionIO are primarily classified as "Machine Learning as a Service" and "Machine Learning" tools respectively.
Some of the features offered by Amazon Machine Learning are:
- Easily Create Machine Learning Models
- From Models to Predictions in Seconds
- Scalable, High Performance Prediction Generation Service
On the other hand, PredictionIO provides the following key features:
- Integrated with state-of-the-art machine learning algorithms. Fine-tune, evaluate and implement them scientifically.
- Customize the modularized open codebase to fulfill any unique prediction requirement.
- Built on top of scalable frameworks such as Hadoop and Cascading. Ready to handle data of any scale.
PredictionIO is an open source tool with 11.8K GitHub stars and 1.92K GitHub forks. Here's a link to PredictionIO's open source repository on GitHub.
According to the StackShare community, Amazon Machine Learning has a broader approval, being mentioned in 9 company stacks & 10 developers stacks; compared to PredictionIO, which is listed in 5 company stacks and 5 developer stacks.
What is Amazon Machine Learning?
What is PredictionIO?
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Why do developers choose Amazon Machine Learning?
What are the cons of using Amazon Machine Learning?
What are the cons of using PredictionIO?
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What tools integrate with Amazon Machine Learning?
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Which #IaaS / #PaaS to chose? Not all #Cloud providers are created equal. As you start to use one or the other, you'll build around very specific services that don't have their equivalent elsewhere.
Back in 2014/2015, this decision I made for SmartZip was a no-brainer and #AWS won. AWS has been a leader, and over the years demonstrated their capacity to innovate, and reducing toil. Like no other.
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Should you compare with #GCP for instance, it's not quite there yet. Building around these managed services, #AWS allowed me to get my developers on a whole new level. Where they know what's under the hood. Where they know they have these services available and can build around them. Where they care and are responsible for operations and security and deployment of what they've worked on.
PredictionIO is an open source Machine Learning Server. It empowers programmers and data engineers to build smart applications. Machine Learning is about attempting to teach computers to predict future, or otherwise unknown events, by applying computer science or statistics techniques to analyze existing data. It can be seen as a transformation from existing data to improve insights about the unknown. PredictionIO is useful for any web and mobile apps. Here are some examples of smart features you can build with PredictionIO: predict user behaviors; offer personalized video, news, deals, ads and job openings; help users to discover interesting events, documents, apps and restaurants; provide impressive match-making services, etc.