BigML provides a selection of fast, performant algorithms to solve a variety of Machine Learning problems:
- Classification: decision trees, ensembles of decision trees (Bagging, Random Decision Forests, and Boosting Ensembles), logistic regression, and Deepnets.
- Regression: decision trees, ensembles of decision trees (Bagging, Random Decision Forests, and Boosting Ensembles), and Deepnets.
- Time Series: Exponential Smoothing.
- Cluster Analysis: k-means and g-means.
- Anomaly Detection: Isolation Forest.
- Association Discovery: Magnum Opus.
- Topic Models: Latent Dirichlet Allocation (LDA).