BigML is a comprehensive and robust Machine Learning platform designed to simplify and automate the entire machine learning lifecycle, making it accessible to a wide range of users, from beginners to experienced data scientists.
What BigML Does
BigML is a consumable, programmable, and scalable platform that enables users to solve and automate various machine learning tasks, including classification, regression, time series forecasting, cluster analysis, anomaly detection, association discovery, and topic modeling. It transforms data into actionable models that can be used as remote services or embedded locally into applications to make predictions.Key Features and Functionality
User-Friendly Interface and Ease of Use
BigML offers an intuitive and user-friendly interface with a drag-and-drop system, allowing users to build models without writing code. The platform includes extensive instruction videos, simple source file uploads, and a multi-functional dynamic scatter plot for data examination.Machine Learning Algorithms
BigML supports a wide range of machine learning algorithms, including:- Supervised Learning: classification and regression models such as decision trees, ensembles (including bagging and random decision forests), linear regressions, logistic regressions, and deepnets.
- Unsupervised Learning: cluster analysis, anomaly detection, topic modeling, association discovery, and Principal Component Analysis (PCA).
Automation and Optimization
The platform features tools for automating complex workflows:- OptiML: Automatically optimizes model selection and parameterization for classification and regression algorithms.
- WhizzML: A domain-specific language for automating complex workflows and implementing high-level machine learning algorithms.
- Scriptify: Converts workflows into reusable scripts with a single click.
Interpretable and Exportable Models
BigML provides interactive visualizations and explainability features to make models interpretable. Users can generate and display thousands of model predictions using tools like Partial Dependence Plots, Prediction Explanations, and Field Importances. Models can be exported for local, offline predictions or deployed in real-time production applications.Programmable and Repeatable
BigML is an “API-first” company, with bindings and libraries available for popular programming languages such as Python, Node.js, Ruby, Java, and Swift. The platform ensures reproducibility and traceability through granular record keeping and immutable resources with unique IDs, which is crucial for regulatory and audit compliance.Flexible Deployments
BigML offers flexible deployment options:- Cloud and On-Premises: Deployments can be set up on the cloud or on-premises, with options for multi-tenant and single-tenant versions.
- Auto-Scalable Infrastructure: BigML’s infrastructure automatically adjusts resources to meet computational needs in a cost-effective manner.
- Private Deployments: Available for companies with stringent data security, privacy, or regulatory requirements.