Introducing machine learning
Machine learning is a subfield of AI that aims to build models that automatically learn from data. You can use these models for different purposes, such as describing a particular phenomenon, predicting future values, or detecting anomalies in an observed phenomenon. Machine learning has become very popular in recent years thanks to the spread of huge quantities of data that derive from different sources, such as social media, open data, sensors, and so on.
The section is organized as follows:
- Exploring the machine learning workflow
- Classifying machine learning systems
- Exploring machine learning challenges
- Explaining machine learning models
Let’s start with the first step: exploring the machine learning workflow.
Exploring the machine learning workflow
The following figure shows the simplest machine learning workflow:
Figure 8.1 – The simplest machine learning workflow
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