AI & Machine Learning Vocabulary Test

What are features in the context of AI and Machine Learning?

• Attributes or properties used to make predictions

• The final output of a machine learning model

• The algorithm used for training

• The data preprocessing techniques

A label in machine learning is:

• A type of algorithm used for training models

• A data point used to train models

• • the output you are trying to decide or predict with a model

• A method for evaluating model performance

Define a model in the context of AI.

• A model is a mathematical representation of a real-world process.

• A model is a type of computer hardware.

• A model is a programming language used in AI.

• A model is a data storage system.

What is supervised learning?

• • When a human trains a model to learn with examples

• A type of machine learning where the model is trained without any data.

• A type of machine learning that does not involve any human intervention.

• A type of machine learning that only uses unsupervised data.

Training in machine learning refers to the process of:

• Testing a model with new data

• • giving examples to a model so it can learn

• Deploying a model to production

• Collecting data for analysis

Explain unsupervised learning.

• Unsupervised learning is - Finding patterns in data that doesn't have any labels

• Unsupervised learning is a method where the model is trained on labeled data.

• Unsupervised learning involves reinforcement from the environment.

• Unsupervised learning is a supervised method of training models.

What is machine learning?

• A field of study that gives computers the ability to learn from data without being explicitly programmed

• A type of computer hardware

• A programming language

• A database management system

Artificial Intelligence (AI) is defined as:

• The simulation of human intelligence in machines

• A type of computer hardware

• A programming language

• A natural phenomenon

Data in the context of AI and machine learning is:

• A collection of facts, such as numbers, words, measurements, observations or even just descriptions of things.

• A type of software used to process information.

• A hardware component used in computing.

• A programming language used for AI development.

A neural network is a:

• A type of computer hardware

• A computational model inspired by biological neural networks

• A programming language

• A type of database