To achieve the desired results, supervised machine learning employs training data sets. These data sets contain inputs as well as the correct output, allowing the model to learn more quickly. For example, you might want to train a machine to predict how long it will take you to drive home from work.

Obtaining a Machine Learning Course is vital for upskilling and staying current in the workplace.

You begin by generating a set of labelled data. This information includes:

• Climate conditions
• The time of day
• Holidays

In this Supervised learning example, all of these details are your inputs. The output is the time it took to drive back home on that particular day.

You know instinctively that if it's raining outside, it'll take you longer to get home. However, the machine requires data and statistics.