Page 40 - AI & Machine Learning for Beginners: A Guided Workbook

Matching Exercise: Learning Types & Applications

Match each learning type to its correct application:

How to Train an AI Model: Beer vs. Wine Example

Imagine our task is to develop a model that determines whether a
beverage is beer or wine. We start by asking: “What is the
difference between wine and beer?” We then answer this
question using data. The system built to answer our question is
known as a model. The process of generating and fine-tuning this
model is called training.

1. Defining the Problem

• Objective: Classify a beverage as either beer or wine.
• Guiding Question: “Is it a glass of beer or a glass of wine?”

2. Data Collection

• Data Sources: We collect observations of beverage
appearance. Although many drink elements could be
observed (e.g., foam, glass shape), here we focus on:
o Color: Represented as a wavelength or hex code.
o Alcohol Content: The percentage of alcohol.
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