1. Introduction to Collect Data

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In the previous lesson, you discovered that computers can train on data and use that information to learn and make inferences.

Many businesses go one step further.

They make recommendations based on inferences in order to create a better experience for their users.

For instance, a music app might recommend new artists based on the music you’ve listened to in the past.

A podcast platform might recommend podcasts that are similar to ones you have enjoyed before.

Or an app store might recommend apps related to activities or tasks you do frequently.

In this lesson, you will create your own model to recommend an item to a user.

A “model” is a system or instruction for completing a task or solving a problem.

You will use Google Forms to create a survey that collects ratings from your classmates about items in a certain category.

You will add questions and images to your form.

Then, your users will rate each item based on how much they like or dislike it.

To do this, you will select a category of items to recommend, such as: Vacation spots, Pets, Music, Or another category that you’d like to choose.

In the following lesson, you will use the data to build a recommendation system.

You will analyze each user’s ratings to see if you can accurately predict whether someone will like one item based on their feelings about other, similar items.

For example, if a user gives you data about restaurants, and you discover that they love going out for breakfast, then you would probably recommend a pancake house.

To start, open a new tab in your browser and go to Google.com.

Select Google Forms from the Apps menu.

Give your form a title.

Then, move on to the next video to start creating your form.

Now, it’s your turn: Create a new form, And give your form a title.


  1. Create a new form.
  2. Give your form a title.