Professional Cloud Architect – Google Cloud Certification Guide

The seven steps of ML

Google indicates that there are seven steps for ML:

1. Gathering the data
2. Preparing the data
3. Choosing a model
4. Training
5. Evaluation
6. Hyperparameter tuning
7. Prediction

Let's go through each of the steps with an example. Let's say we are training the model to check whether a piece of fruit is an apple or a lemon. We need to choose the features that we will use to train our model. There are lots of possible alternatives, including shape, color, taste, and skin smoothness:

For this particular training, we will use color and sugar content. The second measurement is probably not the simplest one to obtain, but for this test, let's ...