Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

BigML
BigML

6
4
+ 1
1
Gradient°
Gradient°

3
9
+ 1
0
Add tool

BigML vs Gradient°: What are the differences?

What is BigML? Machine Learning, made simple. Predictive analytics for big data and not-so-big data. 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.

What is 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.

BigML and Gradient° belong to "Machine Learning as a Service" category of the tech stack.

Some of the features offered by BigML are:

  • REST API
  • bindings in Pyton, Java, Ruby, node.js, C#, Clojure, PHP, and more
  • several algorithms, including categorical & regression decision trees, ensembles of trees (random decision forest), cluster analysis and more

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
- No public GitHub repository available -
- No public GitHub repository available -

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.

What is 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.
Get Advice Icon

Need advice about which tool to choose?Ask the StackShare community!

Why do developers choose BigML?
Why do developers choose Gradient°?
    Be the first to leave a pro
      Be the first to leave a con
        Be the first to leave a con
        What companies use BigML?
        What companies use Gradient°?
          No companies found

          Sign up to get full access to all the companiesMake informed product decisions

          What tools integrate with BigML?
          What tools integrate with Gradient°?
            No integrations found

            Sign up to get full access to all the tool integrationsMake informed product decisions

            What are some alternatives to BigML and Gradient°?
            DataRobot
            It is an enterprise-grade predictive analysis software for business analysts, data scientists, executives, and IT professionals. It analyzes numerous innovative machine learning algorithms to establish, implement, and build bespoke predictive models for each situation.
            TensorFlow
            TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
            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 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.
            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.
            See all alternatives
            Decisions about BigML and Gradient°
            No stack decisions found
            Interest over time
            Reviews of BigML and Gradient°
            No reviews found
            How developers use BigML and Gradient°
            No items found
            How much does BigML cost?
            How much does Gradient° cost?
            Pricing unavailable
            News about BigML
            More news
            News about Gradient°
            More news