Types of Machine Learning

Once again an excellent piece by Jason Brownlee,  a intro to a number of kinds of machine learning.   Abstract intro below, More at the link, and do subscribe:

14 Different Types of Learning in Machine Learning
by Jason Brownlee on November 11, 2019 in Start Machine Learning

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
Given that the focus of the field of machine learning is “learning,” there are many types that you may encounter as a practitioner.

Some types of learning describe whole subfields of study comprised of many different types of algorithms such as “supervised learning.” Others describe powerful techniques that you can use on your projects, such as “transfer learning.”

There are perhaps 14 types of learning that you must be familiar with as a machine learning practitioner; they are:

Learning Problems

1. Supervised Learning
2. Unsupervised Learning
3. Reinforcement Learning
Hybrid Learning Problems

4. Semi-Supervised Learning
5. Self-Supervised Learning
6. Multi-Instance Learning
Statistical Inference

7. Inductive Learning
8. Deductive Inference
9. Transductive Learning
Learning Techniques

10. Multi-Task Learning
11. Active Learning
12. Online Learning
13. Transfer Learning
14. Ensemble Learning
In the following sections, we will take a closer look at each in turn.

Did I miss an important type of learning?
Let me know in the comments below.

Learning Problems ..... "