Question

once completed, answer the questions below to show what you learned.
1 what do we call a collection of data used for training a machine - learning model?
data set
neural network
pattern recognition
algorithm
2 what is a key characteristic of unsupervised learning?
it always results in a correct answer.
it requires a teacher or labeled data.
it focuses on finding hidden patterns.
it is the easiest type of machine learning

Explanation:

1. In machine - learning, a collection of data used for training a model is called a data set. A neural network is a type of model, pattern recognition is a task, and an algorithm is a set of rules for performing a task.
2. Unsupervised learning focuses on finding hidden patterns in data without the need for labeled data or a known answer. It is not the main type of machine - learning and does not require a teacher or labeled data.

Answer:

1. Data Set
2. It focuses on finding hidden patterns.