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Machine Learning, made simple. Predictive analytics for big data and not-so-big data.
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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.
BigML is a tool in the Machine Learning as a Service category of a tech stack.

Who uses BigML?


4 developers on StackShare have stated that they use BigML.

Why developers like BigML?

Here’s a list of reasons why companies and developers use BigML

BigML's Features

  • 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
  • models are fully actionable -- translated into code that can be cut/paste for local utilization
  • PredictServer (and Amazon AMI) can be used for real-time or large batch predictions
  • models can be shared privately or publicly (for free or for a fee set by the developer)

BigML Alternatives & Comparisons

What are some alternatives to BigML?
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.
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.
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

BigML's Followers
4 developers follow BigML to keep up with related blogs and decisions.
Robert Yang
Gary Stafford