
DataRobot
The Unified Platform for Predictive and Generative AI Governance and Delivery.

Machine Learning made beautifully simple for everyone.

BigML is a cloud-based Machine Learning platform designed for analysts, developers, and scientists. It simplifies the creation, deployment, and management of Machine Learning models. The platform supports classification, regression, time series forecasting, cluster analysis, anomaly detection, association discovery, and topic modeling. BigML offers an intuitive dashboard and a programmable API (WhizzML) to automate ML workflows. It features interpretable models that can be exported and deployed as remote services or embedded into applications. With flexible deployment options including private clouds, BigML caters to enterprises with stringent data security needs. The platform enables collaboration through organizations and offers features like image processing, making it versatile for various predictive analytics tasks.
BigML is a cloud-based Machine Learning platform designed for analysts, developers, and scientists.
Explore all tools that specialize in detect anomalies. This domain focus ensures BigML delivers optimized results for this specific requirement.
Explore all tools that specialize in predictive analytics. This domain focus ensures BigML delivers optimized results for this specific requirement.
BigML's domain-specific language for creating reusable Machine Learning workflows. Allows programmatic control over data processing, model building, and evaluation.
Provides a collaborative workspace where teams can share datasets, models, and projects. Enables user roles and permissions to manage access control.
Option to install BigML on your own infrastructure (cloud or on-premises) for enhanced data security and compliance. Supports custom configurations and integrations.
Supports image data as input for Machine Learning models. Enables tasks like image classification, object detection, and image segmentation.
Identifies unusual patterns or outliers in datasets. Uses Machine Learning algorithms to learn normal behavior and flag deviations.
Analyzes time-dependent data to predict future values. Supports various forecasting models and techniques.
Sign up for a free BigML account.
Upload your dataset (CSV, JSON, etc.) or connect to an existing data source.
Select the type of Machine Learning task (e.g., classification, regression).
Configure the model parameters or use automated Machine Learning (AutoML) to find the best model.
Evaluate the model's performance using built-in metrics and visualizations.
Deploy the model as a REST API endpoint for real-time predictions or download it for local deployment.
Monitor model performance and retrain as needed to maintain accuracy.
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