Questions related to teaching subjects in the field of Machine Learning. Use this tag to ask about various aspects of teaching a specific subfield of Machine Learning.

Machine Learning (often abbreviated as ML) is a branch of Artificial intelligence, which deals with programs that learn how to solve specific problems or sets of problems.

There are many techniques in the field: Neural Networks, Genetic algorithms etc. The field is quickly changing, as new technologies and techniques are being created.

Many of the methods used in ML are based on mathematical operations and computations. For example, edge detection in image processing uses Matrix Multiplication, and neural networks are mathematical models for computing outputs for given inputs.

Thus, teaching sub fields of ML requires teaching (or background knowledge) of these mathematical tools and techniques.