3. Bias in bias out

What are the three types of machine learning?

• Supervised learning, Unsupervised learning, Reinforcement learning

• Supervised learning, Semi-supervised learning, Reinforcement learning

• Supervised learning, Unsupervised learning, Deep learning

• Supervised learning, Reinforcement learning, Neural networks

What is the purpose of creating a machine learning model for the supermarket?

• To test whether a new idea could work

• To increase the number of employees

• To reduce the cost of groceries

• To improve store layout

What is a key component needed to create a machine learning model?

• Vast quantities of data

• A large number of employees

• Expensive software

• A physical store location

What is a model in the context of the supermarket example?

• A real supermarket

• A representation of a real-world context

• A type of fruit

• A computer program

What two items does the supermarket model need to recognize?

• Bananas and oranges

• Apples and tomatoes

• Grapes and lemons

• Carrots and potatoes

You are about to train your first machine learning model using images of apples and tomatoes. You are using training data to train your model, so which type of machine learning are you using?

• Supervised learning

• Unsupervised learning

• Reinforcement learning

• Deep learning

What is the purpose of using a set of data in creating an ML model?

• To create a website

• To train and test the model

• To design a game

• To write a book

What is the next step after training an ML model with some data?

• Testing with the remaining data

• Deleting the data

• Ignoring the data

• Sharing the data

When is an ML model ready to use in the real world?

• After it is designed

• After it is trained and tested

• After it is ignored

• After it is deleted

What is the first step in creating a project that classifies images according to the instructions?

• Add training data

• Train your model

• Create a project that classifies images

• Create labels for apples and tomatoes