Amazon Machine Learning vs Gradient°: What are the differences?
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; Gradient°: Deep learning platform built for developers. Gradient° is a suite of tools for exploring data and training neural networks. Gradient° includes 1-click Jupyter notebooks, a powerful job runner, and a python module to run any code on a fully managed GPU cluster in the cloud. Gradient is also rolling out full support for Google's new TPUv2 accelerator to power even more newer workflows.
Amazon Machine Learning and Gradient° belong to "Machine Learning as a Service" category of the tech stack.
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, Gradient° provides the following key features:
- 1-click Jupyter notebooks
- a powerful job runner
- Python module to run any code on a fully managed GPU cluster in the cloud
What is Amazon Machine Learning?
What is Gradient°?
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Why do developers choose Amazon Machine Learning?
Why do developers choose Gradient°?
What are the cons of using Amazon Machine Learning?
What are the cons of using Gradient°?
What companies use Gradient°?
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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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