Chapter 2 Introduction to Machine Learning
In order to conduct our own machine learning tasks, we will need to familiarise ourselves with some new terminology - please take a look over the details and definitions in the following sections.
Note: Some of the following details may be slightly simplified.
Before we proceed, we should make a clear distinction between machine learning (ML) and artificial intelligence (AI), as these can often be conflated.
Machine learning is a mechanical, inductive process, and the ‘learning’ that takes place is strictly via the parameters specified by the human(s)4 writing the code - the machine itself does not exercise any independent thought or ‘intelligence’, nor does it question what it is learning, or why.
Artificial Intelligence, in contrast, can act (within the parameters defined during its creation) independently once created.
