Algorithms.io vs Amazon Machine Learning vs BigML

Algorithms.io
Algorithms.io

4
0
0
Amazon Machine Learning
Amazon Machine Learning

53
0
6
BigML
BigML

4
1
0
- No public GitHub repository available -
- No public GitHub repository available -
- No public GitHub repository available -

What is Algorithms.io?

Build And Run Predictive Applications For Streaming Data From Applications, Devices, Machines and Wearables

What is Amazon Machine Learning?

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 BigML?

BigML provides a hosted machine learning platform for advanced analytics. Through BigML's intuitive interface and/or its open API and bindings in several languages, analysts, data scientists and developers alike can quickly build fully actionable predictive models and clusters that can easily be incorporated into related applications and services.

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What are some alternatives to Algorithms.io, Amazon Machine Learning, and BigML?
Azure Machine Learning
Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.
Amazon SageMaker
A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.
NanoNets
Build a custom machine learning model without expertise or large amount of data. Just go to nanonets, upload images, wait for few minutes and integrate nanonets API to your application.
FloydHub
Platform-as-a-Service for training and deploying your DL models in the cloud. Start running your first project in < 30 sec! Floyd takes care of the grunt work so you can focus on the core of your problem.
Gradient°
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.
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What tools integrate with Algorithms.io?
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What tools integrate with BigML?
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How developers use Algorithms.io, Amazon Machine Learning, and BigML
Avatar of Taylor Host
Taylor Host uses Amazon Machine LearningAmazon Machine Learning

Mild re-training data usage.

How much does Algorithms.io cost?
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