We may earn an affiliate commission when you visit our partners.

Incremental Learning

Save
May 11, 2024 4 minute read

Incremental learning is a type of machine learning in which a model is trained on a small dataset and then updated as new data becomes available. This allows the model to adapt to changing conditions and improve its performance over time. Incremental learning is often used in applications where the data is constantly changing, such as fraud detection, anomaly detection, and recommender systems.

Why learn incremental learning?

Path to Incremental Learning

Take the first step.
We've curated two courses to help you on your path to Incremental Learning. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

Share

Help others find this page about Incremental Learning: by sharing it with your friends and followers:

Reading list

We've selected four books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Incremental Learning.
Focuses on incremental learning for data streams. It covers a wide range of topics, including algorithms, evaluation methods, and applications.
Focuses on incremental learning for robotics. It covers a wide range of topics, including algorithms, applications, and challenges.
Focuses on incremental learning for natural language processing. It covers a wide range of topics, including algorithms, applications, and challenges.
Provides a comprehensive overview of the state-of-the-art in incremental learning for robotics.
Table of Contents
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser