Machine learning is a subset of artificial intelligence

• True

• False

A computer program is said to learn from __________ E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with E.

• Training

• Experience

• Database

• Algorithm

A ___________ is a particular instance of data x. We break these into 2 categories, labeled and unlabeled.

• objects

• examples

• features

• models

A ____________ defines the relationship between features and label. This has 2 phases, training and inference.

• Frame

• Example

• Model

• Feature

A _______________ is the thing we are predicting. The y variable in linear regression. This could be the future price of wheat, a kind of animal, etc.

• Label

• Feature

• Example

• Model

A __________________ is an input variable. The x variable in linear regression. This can be words in the email text, senders address, time of day, etc.

• Label

• Feature

• Model

• Example

A regression model predicts values such as What is the value of a house in california or the probability someone will click on this ad.

• True

• False

A Classificiation model predicts discrete values that answer questions like, is this email spam or not spam? Is this a dog, cat or a hamster?

• True

• False

This model predicts if this is a shoe or not a shoe.

• regression

• classificiation

This model predicts the cost of a car in 2 years.

• regression

• classification