BigML Platform Review: Machine Learning Platform

Key Features

• Supervised Learning

  Supports classification, regression, and time series forecasting using trees, ensembles, and deepnets.

• Unsupervised Learning

  Includes tools for cluster analysis, anomaly detection, topic modeling, and association discovery.

• Interactive Dashboard

  A point-and-click web interface for iterating and visualizing machine learning models.

• REST API

  Supports building and integrating models into applications using various programming languages.

• WhizzML

  A domain-specific language designed to automate machine learning workflows.

• OptiML

  Supports automated model selection and parameterization for classification and regression algorithms.

Use Cases

• Customer Churn Prediction

  Using classification tasks to identify patterns that suggest a customer may stop using a service.

• Demand Forecasting

  Applying time series forecasting to predict future product or service demand.

• Fraud Detection

  Using anomaly detection to identify irregular patterns in banking or procurement transactions.

• Customer Segmentation

  Using cluster analysis to group customers based on shared characteristics for targeted marketing.

Integrations

• Google Sheets
• Zapier
• Amazon Echo
• Node-RED
• Docker

FAQ

Who can use BigML if they don't know how to code?

The BigML Dashboard provides a point-and-click web interface that allows analysts and business professionals to train models and make predictions without writing code.

Does BigML offer a free trial?

Yes, BigML provides a 14-day free trial that allows for unlimited tasks for datasets up to 64MB, with no credit card required.

What are the options for companies with strict data privacy requirements?

BigML offers Private Deployments that can be installed on a company's own infrastructure, ISP, or preferred cloud provider to meet regulatory and security needs.