---
title: "What is the difference between batch learning and online learning?"  
description: "What is the difference between batch learning and online learning?"  
author: "Ravi Vishwakarma"  
published: 2026-05-30  
updated: 2026-06-04  
canonical: https://answers.mindstick.com/qa/116719/what-is-the-difference-between-batch-learning-and-online-learning  
category: "artificial-intelligence"  
tags: ["artificial intelligence"]  
reading_time: 2 minutes  

---

# What is the difference between batch learning and online learning?

**What is the [difference](https://www.mindstick.com/blog/398/difference-between-object-type-and-var-type) between [batch](https://www.mindstick.com/forum/157604/explain-the-features-of-the-batch-operating-system-also-describe-the-pros-and-cons) learning and [online learning](https://www.mindstick.com/blog/296942/difference-between-online-learning-and-distance-learning)?**

## Answers

### Answer by Ravi Vishwakarma

> ### Batch Learning
>
> In **batch [learning](https://www.mindstick.com/articles/44841/5-time-management-tips-for-online-learning-students)**, the model is trained using the **entire dataset at once**. After training, the model is deployed and typically does not learn from new data unless it is retrained.

## Characteristics:

- Uses all available training data
- Training can be time-consuming
- Requires retraining when new data arrives

**Example:**\
Training a sales prediction model once every month using all historical sales data.

> ### Online Learning
>
> In **[online](https://www.mindstick.com/articles/12410/how-can-online-leads-lift-your-roi) learning**, the model learns **incrementally** as new data arrives. It updates itself continuously or in small batches.

## Characteristics:

- Learns from data stream by stream
- Adapts to changing patterns
- Suitable for real-time systems

**Example:**\
A fraud detection system that updates its model whenever new transactions occur.

## Key Differences

| Feature | Batch Learning | Online Learning |
| --- | --- | --- |
| Training Data | Entire dataset | New data incrementally |
| Updates | Periodic retraining | Continuous updates |
| Resource Usage | Higher during training | Lower per update |
| Adaptability | Less adaptive | Highly adaptive |
| Best For | Static datasets | Real-time or changing data |

> **In short:** Batch learning trains on all data at once, while online learning continuously updates the model as new data becomes available.


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Original Source: https://answers.mindstick.com/qa/116719/what-is-the-difference-between-batch-learning-and-online-learning

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