14 Different Types of Learning in Machine Learning

Last Updated on November 11, 2019

Machine learning is a large field of study that overlaps with and inherits ideas from many related fields such as artificial intelligence.

The focus of the field is learning, that is, acquiring skills or knowledge from experience. Most commonly, this means synthesizing useful concepts from historical data.

As such, there are many different types of learning that you may encounter as a practitioner in the field of machine learning: from whole fields of study to specific techniques.

In this post, you will discover a gentle introduction to the different types of learning that you may encounter in the field of machine learning.

After reading this post, you will know:

• Fields of study, such as supervised, unsupervised, and reinforcement learning.
• Hybrid types of learning, such as semi-supervised and self-supervised learning.
• Broad techniques, such as active, online, and transfer learning.

Let’s get started.

Types of Learning

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