# Online Heterogeneous Mixture Learning for Big Data

## TL;DR

This paper introduces an online learning approach for big data analysis that handles heterogeneity, demonstrating rapid convergence to batch-level accuracy through experiments.

## Contribution

It presents a novel online heterogeneous mixture learning method that achieves comparable accuracy to batch methods with faster convergence.

## Key findings

- Online method converges quickly to batch accuracy.
- Achieves comparable accuracy to traditional batch learning.
- Effective for big data heterogeneity.

## Abstract

We propose the online machine learning for big data analysis with heterogeneity. We performed an experiment to compare the accuracy of each iteration between batch one and online one. It is possible to converge quickly with the same accuracy as the batch one.